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agenttrio MCP Server

Bounded planner-coder-reviewer workflows: status, verified run, and configured checks.

agenttrio scores 55 (Fair), with no SPDX license recorded. It installs as a local process. It does not declare tools yet. Filed under AI and memory. Install configs are generated for 10 clients. Being listed in the registry is not the same as being vendor-official.

by cloudcorprecordsNo license
Trust score
55Fair
Trust score 55 of 100, Fair

Fair trust

55 of 100 from six public signals. Nobody can buy a point.

  • Listed in the official MCP registry.
  • No license recorded.
How we score trust
Scorecard

License, quality and maintenance

How grades work
Trust breakdown

Where the 55 comes from

22 + 20 + 0 + 0 + 10 + 3 = 55. Each factor is capped, so no single signal can carry a listing.

Registry22 / 30

Active in the official MCP registry, plus a known vendor namespace.

Registry: 22 of 30 points.
Maintenance20 / 20

How recently the repository saw a commit or release.

Maintenance: 20 of 20 points.
Popularity0 / 20

GitHub stars and weekly downloads, on a log scale.

Popularity: 0 of 20 points.
License0 / 10

A clear, OSI-style open-source license.

License: 0 of 10 points.
Security10 / 10

Not archived, a secure install path, a pinned version.

Security: 10 of 10 points.
Docs3 / 10

A real summary, a README with depth, listed tools.

Docs: 3 of 10 points.

Install

Pick your client, copy the config, paste it in.

Needs Cursor or VS Code installed on this device. The button opens the app and asks you to confirm before it adds the server.

~/Library/Application Support/Claude/claude_desktop_config.json
{  "mcpServers": {    "cloudcorprecords-agenttrio": {      "command": "npx",      "args": [        "-y",        "@reneturcios/agenttrio@0.1.0"      ]    }  }}

Environment variables

This server does not declare environment variables.

Tools show up when the registry metadata or the repository README lists them. Public READMEs are read directly. A GitHub token is used only when one is already configured.

About

agenttrio

agenttrio runs bounded agent workflows made of three roles — a planner, a coder, and a separate read-only reviewer — against a local Ollama backend. It reports the workspace status, runs one task through the trio behind a host-enforced verification gate, and runs the workspace's configured checks. One binary serves a command-line interface and a stdio MCP server with exactly three tools.

Work is bounded by the operator config: model turns per role, coder → verification → reviewer cycles, total tool calls, and context size all have explicit budgets, and a run is only verified when the gate below passes — never on the model's say alone.

Configuration

agenttrio reads an operator-reviewed TOML file. Passing --config <file> explicitly approves loading that file; a workspace config.toml or .flow.toml is never auto-loaded. The only auto-loaded location is $XDG_CONFIG_HOME/flow/config.toml.

workspace_dir = "/absolute/path/to/workspace"

[ollama]
base_url = "http://127.0.0.1:11434"
model = "qwen2.5-coder:7b"
timeout = 120

[models]
planner = "qwen2.5-coder:7b"
coder = "qwen2.5-coder:7b"
reviewer = "qwen2.5-coder:7b"

[agent]
max_iterations = 6
max_cycles = 2
max_tool_calls = 64
max_context_chars = 100000

[checks.test]
cmd = ["npm", "test"]
timeout = 60000
required = true
kind = "test"
filetypes = ["ts"]

Notes that matter:

  • Check timeout values are milliseconds; the Ollama timeout is seconds.
  • --workspace overrides the config's workspace, and --model overrides every role's model.
  • A non-loopback Ollama endpoint is refused unless the config sets ollama.allow_remote = true.
  • Default mode is read-only. run and check require --trusted, which is what allows project edits and explicitly configured named checks.
  • With no resolvable configuration, every command fails with an error naming the missing configuration — nothing is invented.
  • Ollama itself is external: run ollama serve and pull a tool-capable model (for example ollama pull qwen2.5-coder:7b) before expecting runs to work.

Install

npx @reneturcios/agenttrio status --config /path/to/operator.toml

Or run the container image:

docker run -i ghcr.io/cloudcorprecords/agenttrio

The container defaults to the MCP server (see below). Pass CLI arguments to use it as a CLI instead; mount your config and workspace into the container if you use it that way.

CLI

agenttrio status --config operator.toml
agenttrio run "Fix the failing parser test" --config operator.toml --trusted
agenttrio check --config operator.toml --trusted
agenttrio check test --config operator.toml --trusted

agenttrio --version

Reports print as JSON. Exit codes follow the documented scheme: 0 on success, 1 for a runtime failure (including an unverifiable run configuration), and 2 for usage errors. Arguments are validated before any configuration is read, so a malformed invocation is always a usage error.

The verification gate

A run is reported verified: true only when all of these hold:

  • the planner and coder complete within their budgets;
  • at least one required named check runs, and every required check passes;
  • a separate read-only reviewer returns structured approval (a JSON object with "approved": true).

If the gate fails, the cycle repeats (coder → checks → reviewer) up to max_cycles, and the final report says verified: false with a note naming which condition failed.

MCP server

One bin serves both faces. The mcp subcommand starts a stdio MCP server (newline-delimited JSON-RPC):

npx -y @reneturcios/agenttrio mcp --config /path/to/operator.toml --trusted

MCP client configuration:

{
  "mcpServers": {
    "agenttrio": {
      "command": "npx",
      "args": ["-y", "@reneturcios/agenttrio", "mcp", "--config", "/path/to/operator.toml", "--trusted"]
    }
  }
}

Replies carry the report as a JSON text block plus structuredContent; failures are returned as isError results. The server is deliberately sequential.

Tools

The tool list is intentionally only these three tools.

ToolInputWhat it returns
flow_status{}The status report: workspace, Ollama reachability and available models, per-role models, agent budgets, and configured checks.
flow_run{"task": "..."}The run report: planner/coder output, check results, reviewer decision, cycles used, and the verified gate verdict.
flow_check{} or {"name": "configured-name"}The check report: every result for the checks that ran and whether they all passed. Omit name to run all configured checks.

Development

npm install
npm run build   # tsc -> dist/
npm test        # node test runner over test/*.test.ts, no network (fake executor/fetch/runner only)
npm run dev     # run the CLI from source via tsx

License

MIT — see LICENSE.

Frequently asked questions

What is agenttrio MCP Server?

Bounded planner-coder-reviewer workflows: status, verified run, and configured checks.

How do I install agenttrio MCP Server in Claude Desktop, Cursor, or VS Code?

Pick your client in the Install section on this page and copy the generated config into the client's config file. Step-by-step guides: Claude Desktop, Cursor, and VS Code. agenttrio MCP Server runs locally from the npm package @reneturcios/agenttrio with the command npx -y @reneturcios/agenttrio@0.1.0.

Does agenttrio MCP Server support remote (HTTP) connections?

No remote endpoint is listed for agenttrio MCP Server. It runs locally on your machine over stdio, started by your MCP client.

How is agenttrio MCP Server's trust score calculated?

agenttrio MCP Server scores 55 out of 100 (Fair). The score adds six capped public signals: registry status, maintenance, popularity, license, documentation, and security. Nobody can pay for points. Read the methodology for the full formula.

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