An MCP server that provides a local, persistent, self-maintaining knowledge base for AI agents
MCPpedia last refreshed this data
Factsets MCP Server is an MCP server that an MCP server that provides a local, persistent, self-maintaining knowledge base for AI agents. Its tool list has not been published yet over stdio and http, requires no API key, and scores 62/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"factsets": {
"args": [
"factsets",
"mcp-server"
],
"command": "bunx"
}
}
}Are you the author?
Add this badge to your README to show your security score and help users find safe servers.
A self-maintaining knowledge base for AI agents, exposed via the Model Context Protocol (MCP). Manages facts (atomic knowledge), resources (cached external content), skills (procedural markdown), and execution logs (command history) using SQLite.
No automated test available for this server. Check the GitHub README for setup instructions.
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
No package registry to scan.
Click any tool to inspect its schema.
setupGuided setup for Factsets integration into your project
Be the first to review
Have you used this server?
Share your experience — it helps other developers decide.
Sign in to write a review.
Others in ai-ml / productivity
MCP client bridge: connects to MCP servers and registers their tools on ctx.tools
An autonomous agent that conducts deep research on any data using any LLM providers
The official MCP server implementation for the Perplexity API Platform
Workspace template + MCP server for Claude Code, Codex CLI, Cursor & Windsurf. Multi-agent knowledge engine (ag-refresh / ag-ask) that turns any codebase into a queryable AI assistant.
MCP Security Weekly
Get CVE alerts and security updates for Factsets MCP Server and similar servers.
Start a conversation
Ask a question, share a tip, or report an issue.
Sign in to join the discussion.