Needle
This Needle MCP integration, developed by Jan Heimes, provides a bridge between the Needle AI platform and MCP (Machine Comprehension Protocol) servers. Built using Python, it leverages the needle-python and mcp libraries to enable seamless communication between Needle's AI capabilities and standardized MCP endpoints. The integration supports environment variable configuration via python-dotenv for flexible deployment. By abstracting the complexities of API interactions, it allows developers to easily incorporate Needle's AI functionalities into MCP-compatible systems. This implementation is particularly useful for projects requiring advanced natural language processing, machine learning, or AI-driven decision making within an MCP framework, enabling use cases such as intelligent chatbots, automated content generation, or AI-assisted data analysis.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- devops-ci
- Source
- PulseMCP
- Repository
- github.com/needle-ai/needle-mcp
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Needle from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.