AgentMash MCP
AgentMash MCP allows AI agents to search and retrieve saved bookmarks from platforms like X, LinkedIn, Reddit, YouTube, and Instagram. It provides read-only access to a unified library of user saves, enabling agents to answer questions based on these curated resources without training on the data.
Endpoint and access
OAuth sign-in: the first time you connect, your client opens the vendor's own authorization prompt in a browser.
https://agentmash.ai/mcpWhat you can do with it
- Search saved bookmarks across multiple social platforms
- Retrieve specific saved content by ID or collection
- List sources and collections for context
- Answer questions based on user's saved articles
Connect from your client
Each snippet registers the same endpoint; pick the client you use.
Claude Code
claude mcp add --transport http agentmash-mcp https://agentmash.ai/mcpCodex
codex mcp add agentmash-mcp --url https://agentmash.ai/mcpCursor
{
"mcpServers": {
"agentmash-mcp": {
"url": "https://agentmash.ai/mcp"
}
}
}Cline
{
"mcpServers": {
"agentmash-mcp": {
"type": "streamableHttp",
"url": "https://agentmash.ai/mcp",
"disabled": false
}
}
}VS Code
{
"servers": {
"agentmash-mcp": {
"type": "http",
"url": "https://agentmash.ai/mcp"
}
}
}Gemini CLI
gemini mcp add --transport http agentmash-mcp https://agentmash.ai/mcpClaude Desktop
{
"mcpServers": {
"agentmash-mcp": {
"url": "https://agentmash.ai/mcp"
}
}
}Windsurf
{
"mcpServers": {
"agentmash-mcp": {
"serverUrl": "https://agentmash.ai/mcp"
}
}
}Ground your agent in cited data
AgentMash MCP gives your agent tools. Koskamo gives it reviewed, cited facts to check its answers against. Add it as a second MCP server; public reads need no API key.
Other productivity and knowledge servers
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