ejentum/ejentum-mcp
by Various
MCP server for the Ejentum API. 8 cognitive operations across 4 harnesses (reasoning, code, anti-deception, memory) in dynamic and adaptive modes.
MCP
ejentum/ejentum-mcp
Added 1 June 2026
Overview
Ejentum MCP server exposes 8 cognitive operations through 4 harnesses: reasoning, code, anti-deception, and memory. It runs in dynamic and adaptive modes, letting developers integrate structured cognitive checks into their workflows via the Model Context Protocol.
Best for
Best for
Developers building MCP-compatible agents that need lightweight cognitive guardrails
Use cases
- Add anti-deception validation to agent outputs
- Inject structured reasoning steps into LLM pipelines
- Persist and retrieve memory across MCP sessions
How to use
Install
npx @modelcontextprotocol/inspector npm run dev Tools exposed
anti-deceptionadaptive-reasoningadaptive-codeadaptive-anti-deceptionadaptive-memoryEJENTUM_API_KEYEJENTUM_API_URL
Tested with
Claude Desktop, Claude Code, Cursor, Windsurf, Cline, Continue
Notes
Ejentum MCP server exposes 8 cognitive operations through 4 harnesses: reasoning, code, anti-deception, and memory. It runs in dynamic and adaptive modes, letting developers integrate structured cognitive checks into their workflows via the Model Context Protocol.
8 stars on GitHub. Last updated 2026-05-31. Licensed MIT.
Use cases
- Add anti-deception validation to agent outputs
- Inject structured reasoning steps into LLM pipelines
- Persist and retrieve memory across MCP sessions
Pros
- Small, focused set of cognitive operations
- Adaptive mode adjusts behavior without manual tuning
- Open source with JavaScript implementation
Cons
- Limited to Ejentum API ecosystem
- Only 8 operations may not cover complex needs
- Low community traction (8 stars)
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Small, focused set of cognitive operations
- Adaptive mode adjusts behavior without manual tuning
- Open source with JavaScript implementation
Cons
- Limited to Ejentum API ecosystem
- Only 8 operations may not cover complex needs
- Low community traction (8 stars)
Pairs with
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Paul Gauthier
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Continue
Continue.dev
Open-source AI code assistant for VS Code and JetBrains. Customisable, BYO model, built for enterprise.
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