Ejentum Mcp
Inject structured reasoning procedures and executable reasoning DAGs into agent runs via Ejentum’s Logic API.
Overview
Ejentum MCP is an MCP server for the Build phase that provides four reasoning-harness tools with NL procedures and executable DAG topologies for agentic workflows.
What is this MCP server?
- Reasoning Harness with 4 MCP tools combining natural-language procedures and executable reasoning topology DAGs
- npm package ejentum-mcp v0.1.8 stdio transport
- Requires EJENTUM_API_KEY from ejentum.com pricing with documented free tier of 100 calls
- Aims to make agent reasoning steps inspectable rather than opaque chain-of-thought
- Open repo at github.com/ejentum/ejentum-mcp
- 4 MCP tools documented
- Package version 0.1.8
- Free tier documented as 100 API calls in registry metadata
Community signal: 7 GitHub stars.
What problem does it solve?
Complex agent tasks drift when reasoning is only free-form text, with no shared procedure or topology the model must follow.
Who is it for?
Builders prototyping autonomous agents or copilots who want externalized reasoning graphs and API-backed harness tooling.
Skip if: Simple CRUD apps with no agent logic, air-gapped environments, or teams avoiding third-party reasoning APIs.
What do I get? / Deliverables
Your agent runs against injected procedures and reasoning DAGs so multi-step builds stay structured and easier to audit.
- Four harness tools wired into agent MCP config
- Executable reasoning DAG sessions backed by Ejentum Logic API
Recommended MCP Servers
Journey fit
Reasoning harnesses improve how agents plan and execute during product build, especially for multi-step agent features. Four MCP tools that add NL procedures and topology DAGs are core agent-tooling infrastructure, not a single UI widget.
How it compares
External reasoning-harness MCP, not an in-repo brainstorming or planning skill.
Common Questions / FAQ
Who is Ejentum MCP for?
Solo developers and indie teams building agent features who want MCP tools that enforce structured reasoning via Ejentum’s Logic API.
When should I use Ejentum MCP?
Use it during build agent-tooling when workflows need DAG-shaped reasoning, repeatable procedures, or auditable agent steps beyond one-shot prompts.
How do I add Ejentum MCP to my agent?
Install ejentum-mcp from npm, set the EJENTUM_API_KEY environment variable from ejentum.com, and register the stdio server in your MCP client.