AgentModule/mcp
by Various
Agent Module MCP Server — deterministic knowledge retrieval for autonomous agents
MCP
AgentModule/mcp
Added 1 June 2026
Overview
AgentModule/mcp is a JavaScript server implementing the Model Context Protocol (MCP) for knowledge retrieval. It gives deterministic, reproducible answers to autonomous agents, avoiding probabilistic or generative outputs. The project is open source with contributions from various developers.
Best for
Best for
Developers needing predictable knowledge retrieval for autonomous agents
Use cases
- Providing consistent fact lookup for AI agents
- Integrating deterministic knowledge bases with MCP-compatible clients
- Reducing hallucination in agent responses through fixed retrieval
How to use
Tools exposed
get_trial_keyquery_knowledgecheck_statusjoin_waitlistregister_interestsubmit_povsubmit_referral
Tested with
Claude Desktop, Claude Code, Cursor
Example client config
[object Object] Notes
AgentModule/mcp is a JavaScript server implementing the Model Context Protocol (MCP) for knowledge retrieval. It gives deterministic, reproducible answers to autonomous agents, avoiding probabilistic or generative outputs. The project is open source with contributions from various developers.
1 stars on GitHub. Last updated 2026-04-04. Licensed MIT.
Use cases
- Providing consistent fact lookup for AI agents
- Integrating deterministic knowledge bases with MCP-compatible clients
- Reducing hallucination in agent responses through fixed retrieval
Pros
- Deterministic outputs ensure repeatable agent behavior
- Open source with multiple maintainers broadens potential contributions
- Uses JavaScript, a widely adopted language for tooling
Cons
- Very early stage project with only 1 star on GitHub
- Limited documentation and community support expected
- Tied to MCP ecosystem, which is still maturing
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Deterministic outputs ensure repeatable agent behavior
- Open source with multiple maintainers broadens potential contributions
- Uses JavaScript, a widely adopted language for tooling
Cons
- Very early stage project with only 1 star on GitHub
- Limited documentation and community support expected
- Tied to MCP ecosystem, which is still maturing
Open-source & AI alternatives
Swap-in tools that solve the same job. Weigh the trade-offs before you commit.
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