About
A lightweight Python server that exposes MISP IOC retrieval functions over the Model Context Protocol, enabling MCP-compatible clients like Claude Desktop to query recent IOCs, get summaries, filter by type, and export data.
Capabilities
MISP MCP Server
The MISP MCP Server bridges the gap between AI assistants and a live threat intelligence platform. By exposing MISP’s IOC retrieval capabilities through the Model Context Protocol, it lets Claude Desktop and other MCP‑compatible clients pull up‑to‑date indicators of compromise directly into their conversational context. This eliminates the need for manual API calls or custom scripts, allowing analysts to query recent threats with natural language and receive structured data ready for further analysis or automation.
Developers benefit from a clean, declarative interface: each tool is a self‑contained function that returns JSON‑compatible dictionaries. The server handles authentication, pagination, and error handling internally, so the client only needs to pass a few arguments. This abstraction is especially valuable in security operations centers (SOCs) where analysts juggle multiple data sources; the MCP server consolidates MISP queries into a single, consistent protocol that can be reused across different AI workflows.
Key capabilities include:
- Recent IOC retrieval: fetch all attributes added in the past 24 hours, giving analysts an instant snapshot of fresh threats.
- IOC summarization: aggregate counts by type and provide sample values, useful for high‑level reporting or trend analysis.
- Type filtering: narrow results to IPs, domains, URLs, hashes, etc., enabling focused investigations.
- Export to JSON: persist the retrieved data for downstream tooling or archival.
- Connection health check: verify that the server can reach MISP and that credentials are valid, reducing runtime failures.
Typical use cases span from automated threat hunting—where an AI assistant can ask for “all new IP IOCs” and immediately receive a list—to compliance reporting, where the same assistant can generate daily IOC summaries for audit logs. In incident response, an analyst might prompt the AI to “save today’s IOCs to a file” and then feed that file into a playbook or SIEM enrichment pipeline. Because the server exposes its tools via standard MCP resources, any workflow that supports MCP can incorporate MISP data without custom adapters.
The standout advantage of this server is its minimal footprint and zero‑configuration requirement beyond environment variables. Once running, it listens on STDIO for MCP connections, making it trivial to integrate with Claude Desktop or any other client that can spawn a subprocess. By centralizing MISP access behind MCP, teams gain consistent, secure, and repeatable interactions with threat intelligence, streamlining both manual analysis and automated response pipelines.
Related Servers
MarkItDown MCP Server
Convert documents to Markdown for LLMs quickly and accurately
Context7 MCP
Real‑time, version‑specific code docs for LLMs
Playwright MCP
Browser automation via structured accessibility trees
BlenderMCP
Claude AI meets Blender for instant 3D creation
Pydantic AI
Build GenAI agents with Pydantic validation and observability
Chrome DevTools MCP
AI-powered Chrome automation and debugging
Weekly Views
Server Health
Information
Explore More Servers
Google Flights MCP Server
Retrieve flight data from Google Flights with ease
Twelve Data MCP Server
AI‑driven access to global market data
China Holiday MCP Server
AI‑powered Chinese holiday, lunar calendar, and astrology lookup
Mcpcloudtools
Real-time MCP tool generation via FastAPI and cURL
Typesense MCP Server
AI‑powered search with Typesense integration
Webflow MCP Server Extension for Zed
Integrate Webflow with Zed's AI context panel