althea-mcp
PulseGate's liveness check found it on 14 Sep 2026; it is registered on GitHub and PyPI and has been in the index since 29 Jul 2026. How this is checked
althea-mcp is an open-source Python package that implements the Model Context Protocol (MCP) to connect autonomous coding agents with Althea, a personal AI agent, and her broader network of machine learning researchers. It enables agents to query, collaborate with, and leverage expert ML knowledge during development tasks. Primarily used by developers building or extending AI coding agents that require specialized research context.
Inferred · not functionally tested
Overview
3 featuresPurpose: Connecting autonomous coding agents to a specialized network of ML researchers and knowledge.
Inferred · not functionally tested
Audience: AI developers and researchers
Inferred · not functionally tested
Functions: agents, rag
Inferred · not functionally tested
Interfaces: API: indicated (inferred, not tested) · MCP: indicated (inferred, not tested) · CLI: indicated (inferred, not tested) · Self-hosting: unknown
Recorded constraints: pricing: open_source · license: MIT · platforms: CLI, WEB · deployment: browser, cli, api_only
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: althea.tiptreesystems.com · github.com. These links do not verify the individual claims.
In the Frameworks & runtimes space, althea-mcp takes a focused approach. Inferred · not functionally tested: It focuses on connecting autonomous coding agents to a specialized network of ML researchers and knowledge. Inferred · not functionally tested: It is built as an open-source project for AI developers and researchers. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: It ships for the web, the command line, and API.
It is developed by Tiptree Systems, and it first shipped in 2026. The project is developed in the open on GitHub with 12 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include MCP Server, Agent Connectivity, and ML Research Access. Inferred · not functionally tested: Catalogued interfaces include an MCP server.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- MCP Server
- Agent Connectivity
- ML Research Access
Topics: Inferred · not functionally tested
Built with & integrations
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
- Indexed29 Jul · 15:14 UTCalthea-mcp seen via PyPI Bulk EnumeratorSource: PyPI Bulk Enumerator · Open
Frequently asked questions about althea-mcp
- What does althea-mcp do?
- Inferred · not functionally tested: Althea-mcp focuses on connecting autonomous coding agents to a specialized network of ML researchers and knowledge. It is catalogued under Frameworks & runtimes on PulseGate.
- Who should use althea-mcp?
- Inferred · not functionally tested: althea-mcp is an open-source project built for AI developers and researchers.
- Does althea-mcp have a free plan?
- Basis unknown · not verified: Yes — althea-mcp is open source under the MIT license and free to use.
- What platforms does althea-mcp run on?
- Basis unknown · not verified: althea-mcp runs on the web, the command line, and API.
- Is althea-mcp still maintained?
- PulseGate's liveness check found it on 14 Sep 2026. Its GitHub repository shows 12 commits in the last 90 days.
- Who develops althea-mcp?
- althea-mcp is developed by Tiptree Systems.
- When did althea-mcp launch?
- althea-mcp first shipped in 2026.
- Is althea-mcp open source?
- Basis unknown · not verified: Yes — althea-mcp is open source under the MIT license, developed on GitHub.
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