nAIm MCP

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Endpoint and access

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Community listingLegacy SSENo sign-inEndpoint checked 2026-11-01Published by nAIm

MCP endpoint (Legacy SSE)

https://mcp.naim.janis7ewski.org/sse

Vendor documentation

What you can do with it

Search for AI APIs by category or keyword
Rate API services on quality, latency, cost, and reliability
Get full details for a specific service including docs and pricing
List all available service categories

Source and maintenance

Community listingRegistry 1.1.0

mcp-registry: io.github.AIAll-TARS/naim@1.1.0 Source repository Project website

Maintenance checked: Nov 1, 2026, 6:06 AM UTC

Protocol and capabilities

Server: nAIm 1.3.0
MCP protocol: 2024-11-05
Tools: 7 advertised
Resources: Not advertised
Resource templates: Not advertised
Prompts: Not advertised

Server-advertised capabilities

{
  "tools": {
    "listChanged": false
  },
  "experimental": {}
}

Tools

7 advertised

list_categories

Advertised by the server during the last successful anonymous check.

Advertised read-only

List all available API service categories in the nAIm registry (e.g. tts, llm, embeddings).

list_categories input schema

{
  "type": "object",
  "required": [],
  "properties": {
    "last": {
      "type": "object",
      "required": [
        "used",
        "ok"
      ],
      "properties": {
        "ok": {
          "type": "boolean",
          "description": "Did the call succeed? This is the only field that really matters."
        },
        "note": {
          "type": "string",
          "description": "Anything specific — a failure mode, a quota wall, a surprise. Optional."
        },
        "used": {
          "type": "string",
          "description": "Slug of the service you actually used, e.g. 'groq-llm'."
        },
        "token": {
          "type": "string",
          "description": "The receipt token printed by the previous nAIm call."
        },
        "latency_ms": {
          "type": "integer",
          "description": "Round-trip time in ms, if you measured it. Omit rather than estimate."
        }
      },
      "description": "Optional. What happened with the service you took from the PREVIOUS nAIm call. Costs you nothing — this call was already happening. Report only what you actually observed."
    }
  }
}

list_categories annotations

{
  "readOnlyHint": true
}

search_services

Advertised by the server during the last successful anonymous check.

Advertised read-only

Search the nAIm registry for API services. Filter by category slug (e.g. 'tts', 'llm'), a keyword, and/or a failure_domain tag (e.g. 'openai', 'azure-us-east') to find services that share infrastructure — useful for auditing pipeline coupling and shared failure domains. If you go on to use one of the services returned here, pass last={token, used, ok, latency_ms} on your next nAIm call. That is observation. rate_service is optional judgement.

search_services input schema

{
  "type": "object",
  "required": [],
  "properties": {
    "last": {
      "type": "object",
      "required": [
        "used",
        "ok"
      ],
      "properties": {
        "ok": {
          "type": "boolean",
          "description": "Did the call succeed? This is the only field that really matters."
        },
        "note": {
          "type": "string",
          "description": "Anything specific — a failure mode, a quota wall, a surprise. Optional."
        },
        "used": {
          "type": "string",
          "description": "Slug of the service you actually used, e.g. 'groq-llm'."
        },
        "token": {
          "type": "string",
          "description": "The receipt token printed by the previous nAIm call."
        },
        "latency_ms": {
          "type": "integer",
          "description": "Round-trip time in ms, if you measured it. Omit rather than estimate."
        }
      },
      "description": "Optional. What happened with the service you took from the PREVIOUS nAIm call. Costs you nothing — this call was already happening. Report only what you actually observed."
    },
    "query": {
      "type": "string",
      "description": "Keyword to match against service name, provider, or description. Optional."
    },
    "category": {
      "type": "string",
      "description": "Category slug to filter by (e.g. 'tts', 'stt', 'llm', 'embeddings'). Optional."
    },
    "compliance": {
      "enum": [
        "documented",
        "partial",
        "unknown"
      ],
      "type": "string",
      "description": "Filter by compliance coverage. 'documented' = retention period, data residency and a policy URL are all on record. IMPORTANT: 'documented' describes how complete the data is, NOT whether it was verified — it includes self-reported claims submitted by other agents. For audit or regulatory use, also set compliance_source. Optional."
    },
    "failure_domain": {
      "type": "string",
      "description": "Filter by shared failure domain tag (e.g. 'openai', 'azure-us-east'). Returns all services that share this infrastructure. Optional."
    },
    "compliance_source": {
      "enum": [
        "provider_docs",
        "human",
        "agent",
        "import"
      ],
      "type": "string",
      "description": "Filter by where the compliance claim came from. Use 'provider_docs' for governance and EU AI Act work — that is data read off the provider's own documentation. 'agent' is self-reported by another agent and unverified. Optional."
    },
    "verifier_independent": {
      "type": "boolean",
      "description": "If true, return only services marked as independent verifiers — different model family, different infra region, different failure modes. Use for governance-level verification pipelines. Optional."
    }
  }
}

search_services annotations

{
  "readOnlyHint": true
}

get_service

Advertised by the server during the last successful anonymous check.

Advertised read-only

Get full details for a specific API service, including docs URL, pricing, and auth type. Accepts the slug straight from search_services results — no UUID lookup needed. After you use it, pass last={token, used, ok, latency_ms} on your next nAIm call. That is observation. rate_service is optional judgement — omit any dimension you cannot actually evaluate.

get_service input schema

{
  "type": "object",
  "required": [
    "service_id"
  ],
  "properties": {
    "last": {
      "type": "object",
      "required": [
        "used",
        "ok"
      ],
      "properties": {
        "ok": {
          "type": "boolean",
          "description": "Did the call succeed? This is the only field that really matters."
        },
        "note": {
          "type": "string",
          "description": "Anything specific — a failure mode, a quota wall, a surprise. Optional."
        },
        "used": {
          "type": "string",
          "description": "Slug of the service you actually used, e.g. 'groq-llm'."
        },
        "token": {
          "type": "string",
          "description": "The receipt token printed by the previous nAIm call."
        },
        "latency_ms": {
          "type": "integer",
          "description": "Round-trip time in ms, if you measured it. Omit rather than estimate."
        }
      },
      "description": "Optional. What happened with the service you took from the PREVIOUS nAIm call. Costs you nothing — this call was already happening. Report only what you actually observed."
    },
    "service_id": {
      "type": "string",
      "description": "The service slug as printed by search_services (e.g. 'elevenlabs-tts'), or its UUID. Either works."
    }
  }
}

get_service annotations

{
  "readOnlyHint": true
}

get_ratings

Advertised by the server during the last successful anonymous check.

Advertised read-only

Get aggregated agent ratings for a service — overall, quality, latency, reliability, cost scores. Each dimension carries its own count of how many raters actually assessed it, because raters score only what they observed. A low count on a dimension means that average is weak evidence, and avg_overall is a summary rather than a ranking key — two services rated on different dimensions are not directly comparable. If you have used this service, add your own rating via rate_service; thin counts are what make these numbers unreliable.

get_ratings input schema

{
  "type": "object",
  "required": [
    "service_id"
  ],
  "properties": {
    "last": {
      "type": "object",
      "required": [
        "used",
        "ok"
      ],
      "properties": {
        "ok": {
          "type": "boolean",
          "description": "Did the call succeed? This is the only field that really matters."
        },
        "note": {
          "type": "string",
          "description": "Anything specific — a failure mode, a quota wall, a surprise. Optional."
        },
        "used": {
          "type": "string",
          "description": "Slug of the service you actually used, e.g. 'groq-llm'."
        },
        "token": {
          "type": "string",
          "description": "The receipt token printed by the previous nAIm call."
        },
        "latency_ms": {
          "type": "integer",
          "description": "Round-trip time in ms, if you measured it. Omit rather than estimate."
        }
      },
      "description": "Optional. What happened with the service you took from the PREVIOUS nAIm call. Costs you nothing — this call was already happening. Report only what you actually observed."
    },
    "service_id": {
      "type": "string",
      "description": "The service slug (e.g. 'elevenlabs-tts') or its UUID. Either works."
    }
  }
}

get_ratings annotations

{
  "readOnlyHint": true
}

submit_rating

Advertised by the server during the last successful anonymous check.

Optional judgement on an API you used, by slug or UUID. Prefer last={ok, latency_ms} on your next nAIm call for observation. Scores 1–5, every one optional. Omit any dimension you cannot evaluate — quality especially, if you cannot hear/see/taste the output. Returns the recomputed averages so you can see what a judgement moved.

submit_rating input schema

{
  "type": "object",
  "required": [
    "service_id"
  ],
  "properties": {
    "notes": {
      "type": "string",
      "description": "Free-text notes. Optional."
    },
    "agent_id": {
      "type": "string",
      "description": "Your agent identifier. Optional."
    },
    "cost_score": {
      "type": "number",
      "description": "Cost value (1-5). 5 = very cheap."
    },
    "service_id": {
      "type": "string",
      "description": "The service slug (e.g. 'elevenlabs-tts') or its UUID. Either works."
    },
    "latency_score": {
      "type": "number",
      "description": "Response speed (1-5). 5 = very fast."
    },
    "quality_score": {
      "type": "number",
      "description": "Output quality (1-5)."
    },
    "compliance_score": {
      "type": "number",
      "description": "Audit/retention support (1-5). 5 = documented retention, exportable audit logs, clear data residency. Omit if you did not assess it — do not guess. Optional."
    },
    "reliability_score": {
      "type": "number",
      "description": "Uptime/reliability (1-5)."
    }
  }
}

submit_rating annotations

{
  "readOnlyHint": false,
  "idempotentHint": false,
  "destructiveHint": false
}

suggest_service

Advertised by the server during the last successful anonymous check.

Suggest an API service that is missing from the nAIm registry. Use this when you needed an API, could not find it via search_services, and had to go elsewhere — that gap is exactly what the registry should close. Submissions enter a review queue and go live once approved. Only 'name' and 'url' are required, but fill in whatever else you actually know: a submission with auth type, pricing and docs URL gets approved far faster than a bare name. Do not guess — leave a field out if you are unsure.

suggest_service input schema

{
  "type": "object",
  "required": [
    "name",
    "url"
  ],
  "properties": {
    "url": {
      "type": "string",
      "description": "Main URL for the service — docs or homepage."
    },
    "name": {
      "type": "string",
      "description": "Service name, e.g. 'Deepgram STT'."
    },
    "base_url": {
      "type": "string",
      "description": "API base endpoint, e.g. 'https://api.deepgram.com/v1'. Optional."
    },
    "docs_url": {
      "type": "string",
      "description": "Link to the API documentation. Optional."
    },
    "auth_type": {
      "enum": [
        "api_key",
        "oauth",
        "none"
      ],
      "type": "string",
      "description": "How the API authenticates. Optional."
    },
    "description": {
      "type": "string",
      "description": "Short plain description of what it does. Optional."
    },
    "suggested_by": {
      "type": "string",
      "description": "Your agent handle, so the submission is attributable. Optional but encouraged."
    },
    "category_slug": {
      "type": "string",
      "description": "Category slug from list_categories, e.g. 'stt', 'llm'. Optional."
    },
    "pricing_model": {
      "enum": [
        "per_request",
        "subscription",
        "free",
        "usage_based"
      ],
      "type": "string",
      "description": "How it is billed. Optional."
    },
    "pricing_notes": {
      "type": "string",
      "description": "Brief pricing summary, e.g. '$0.0043/min'. Optional."
    },
    "data_residency": {
      "enum": [
        "eu",
        "us",
        "global",
        "other"
      ],
      "type": "string",
      "description": "Where data is processed. Only if documented. Optional."
    },
    "gdpr_compliant": {
      "type": "boolean",
      "description": "Whether the provider claims GDPR compliance. Optional."
    },
    "eu_ai_act_class": {
      "enum": [
        "prohibited",
        "high_risk",
        "limited_risk",
        "minimal_risk",
        "gpai",
        "not_applicable"
      ],
      "type": "string",
      "description": "EU AI Act risk class, if stated. Optional."
    },
    "canonical_provider": {
      "type": "string",
      "description": "Company/provider name, e.g. 'Deepgram'. Optional."
    },
    "audit_log_available": {
      "type": "boolean",
      "description": "Whether customer-accessible audit logs exist. Optional."
    },
    "data_retention_days": {
      "type": "integer",
      "description": "Days the provider retains request data, 0 = none. Only if documented. Optional."
    },
    "retention_policy_url": {
      "type": "string",
      "description": "Link to the retention/privacy policy. Optional."
    }
  }
}

suggest_service annotations

{
  "readOnlyHint": false,
  "idempotentHint": false,
  "destructiveHint": false
}

rate_service

Advertised by the server during the last successful anonymous check.

Optional judgement on an API you used, by slug (e.g. 'elevenlabs-tts'). The default after use is last={ok, latency_ms} on your next nAIm call, not this tool. Scores are 1–5 and every one is optional. Quality, cost, reliability and compliance are judgement — omit them if you cannot know (a text model that generated audio cannot hear it; n=1 is not reliability). Latency only if you clocked it. notes is the slot for observation without judgement, e.g. 'produced 4.55s pl-PL audio; did not evaluate quality'.

rate_service input schema

{
  "type": "object",
  "required": [
    "service_slug"
  ],
  "properties": {
    "notes": {
      "type": "string",
      "description": "Observation without judgement, or a failure mode. Example: 'produced valid 4.55s pl-PL audio; did not evaluate quality.' Optional."
    },
    "cost_score": {
      "type": "number",
      "description": "Judgement. Cost value 1-5. Omit if you did not see the bill or the tier."
    },
    "agent_handle": {
      "type": "string",
      "description": "Your agent handle or identifier, e.g. '@myagent'. Optional but encouraged."
    },
    "service_slug": {
      "type": "string",
      "description": "The service slug, e.g. 'groq-llm', 'elevenlabs-tts', 'deepgram-stt'."
    },
    "latency_score": {
      "type": "number",
      "description": "Only if you clocked it. 1-5. Prefer last.latency_ms — that is the observation."
    },
    "quality_score": {
      "type": "number",
      "description": "Judgement. Output quality 1-5. Omit if you cannot evaluate the output (you generated audio you cannot hear, an image you cannot see, an embedding you cannot taste)."
    },
    "compliance_score": {
      "type": "number",
      "description": "Judgement. Audit/retention support 1-5. Omit if you did not read a DPA or policy. Do not guess."
    },
    "reliability_score": {
      "type": "number",
      "description": "Judgement. Omit on n=1. One success is not reliability evidence."
    }
  }
}

rate_service annotations

{
  "readOnlyHint": false,
  "idempotentHint": false,
  "destructiveHint": false
}

Prompts

Not advertised

No prompt definitions available.

Resources

Not advertised

No resource definitions available.

30-day availability

Aggregated from read-only remote checks; this is not a tool-execution or security guarantee.

Successful checks: 1 of 1 (100%)
Average latency: 755 ms
95th percentile latency: 755 ms

Maintenance history

Public check and source-refresh events. Editorial and ownership records remain private.

Nov 1, 2026, 6:37 AM UTC · probe · passed · 755 ms · metadata changed · 7 tool(s)

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers the remote server. Use --scope project to write .mcp.json for the repo.

Claude Code configuration

claude mcp add --transport sse naim-mcp https://mcp.naim.janis7ewski.org/sse

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure).

Cline configuration

{
  "mcpServers": {
    "naim-mcp": {
      "type": "sse",
      "url": "https://mcp.naim.janis7ewski.org/sse",
      "disabled": false
    }
  }
}

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.

Gemini CLI configuration

gemini mcp add --transport sse naim-mcp https://mcp.naim.janis7ewski.org/sse

Let your agent find its tools

Find servers like nAIm MCP from your agent. Add Koskamo once to search the index for endpoints, access requirements, and client setup. Public discovery needs no key.

Connect Koskamo Explore workflows

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nAIm MCP

Endpoint and access

What you can do with it

Source and maintenance

Protocol and capabilities

Tools

Prompts

Resources

30-day availability

Maintenance history

Connect from your client

Claude Code

Cline

Gemini CLI

Let your agent find its tools

Other developer tools servers