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.
Fair trust
55 of 100 from six public signals. Nobody can buy a point.
- Listed in the official MCP registry.
- No license recorded.
License, quality and maintenance
Quality: Grade C
60/100 for listing completeness. Lost points: no listed tools, short summary, no docs link.
How quality is graded
Where the 55 comes from
22 + 20 + 0 + 0 + 10 + 3 = 55. Each factor is capped, so no single signal can carry a listing.
Active in the official MCP registry, plus a known vendor namespace.
Registry: 22 of 30 points.How recently the repository saw a commit or release.
Maintenance: 20 of 20 points.GitHub stars and weekly downloads, on a log scale.
Popularity: 0 of 20 points.A clear, OSI-style open-source license.
License: 0 of 10 points.Not archived, a secure install path, a pinned version.
Security: 10 of 10 points.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.
{ "mcpServers": { "cloudcorprecords-agenttrio": { "command": "npx", "args": [ "-y", "@reneturcios/agenttrio@0.1.0" ] } }}
Environment variables
This server does not declare environment variables.
Tools
All capabilitiesTools 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
timeoutvalues are milliseconds; the Ollamatimeoutis seconds. --workspaceoverrides the config's workspace, and--modeloverrides every role's model.- A non-loopback Ollama endpoint is refused unless the config sets
ollama.allow_remote = true. - Default mode is read-only.
runandcheckrequire--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 serveand pull a tool-capable model (for exampleollama 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.
| Tool | Input | What 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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