tma1 MCP Server
tma1-ai/tma1
[](https://agentrank-ai.com/tool/tma1-ai--tma1/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) Local-first observability your agent reads back. TMA1 records every LLM call, then routes what it sees into the agent's next turn via hooks and MCP.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
tma1-ai/tma1 is a Go tool licensed under Apache-2.0. Local-first observability your agent reads back. TMA1 records every LLM call, then routes what it sees into the agent's next turn via hooks and MCP. Topics: ai-agents, claude-code, codex, local-first, observability, openclaw, opentelemetry, self-hosted, sql, agent-observability, llm-observability, logs, metrics, tracing, agent-loop, mcp, copilot-cli, genai, llmops, greptimedb.
Ranked #4539 out of 24846 indexed tools.
Ecosystem
Score Breakdown
119 stars → growing community
Last commit 1mo ago → moderate activity
4/13 issues closed → many open issues
6 contributors → small team
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
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From the README
# TMA1 > A monolith for your agent's loop. Silent until it talks back. TMA1 is local-first observability for LLM agents, powered by GreptimeDB. It records every LLM call on your machine, then routes what it sees back into the agent's next turn through hooks and MCP tools. One binary. No Docker. No Grafana. No cloud account. The name comes from TMA-1 (Tycho Magnetic Anomaly-1) in *2001: A Space Odyssey*: the monolith buried on the moon, silently recording everything until you dig it out. ## Quickstart ```bash curl -fsSL https://tma1.ai/install.sh | TMA1_ADAPTER=claude-code bash ``` The installer registers TMA1 as a background service and starts it. The dashboard is at <http://localhost:14318>. `TMA1_ADAPTER` accepts `claude-code`, `codex`, or `all`. See [Install](#install) for Windows and for installing without an adapter. ## What it does TMA1 does two things. It feeds context to the agent. Before each turn the agent receives a `<tma1-context>` block: what it has done this seRead full README on GitHub →
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