<!-- mcp-name: io.github.reshuibuduo/tmcra-mcp-server -->

TMCRA MCP Server

TMCRA MCP Server gives MCP hosts explicit access to long-term Agent memory. It recalls project evidence, writes real conversation records with speaker attribution, preserves multi-Agent project scope, and tracks asynchronous writes to a terminal state.

中文说明

What it provides

• Cross-session project continuity. Recall bounded evidence from one stable project scope.
• Cross-tool collaboration. Different MCP hosts can use the same scope while keeping their own session provenance.
• Speaker and Agent attribution. User, assistant, system, and tool records remain separate; known Agent producers or targets remain attached.
• Explicit turn lifecycle. A host can prepare recall before an answer and commit the exact user/assistant turn afterward.
• Durable write recovery. Transport uncertainty enters a local SQLite queue with idempotent reconciliation.
• Verifiable receipts. Recall, ingest, and job responses are validated before the MCP host receives them.
• Seven real MCP tools. Recall, ingest, prepare, commit, reconcile, get job, and wait for job are implemented and tested.

Generic MCP clients decide when to call tools. Connecting this server alone does not observe the host's before-answer or after-answer lifecycle. For automatic Codex recall and capture, install the separate TMCRA Codex Memory plugin.

Install

MCPB release

Download tmcra-mcp-server-0.5.1.mcpb from the v0.5.1 release and open it in an MCPB-compatible client. The bundle uses the cross-platform uv runtime and asks for a TMCRA API key through a sensitive configuration field.

Python wheel

python -m pip install \
  https://github.com/reshuibuduo/TMCRA-MCP-Server/releases/download/v0.5.1/tmcra_mcp_server-0.5.1-py3-none-any.whl

Directly from GitHub with uvx

uvx --from "git+https://github.com/reshuibuduo/TMCRA-MCP-Server@v0.5.1" tmcra-mcp

Authorize

Create a TMCRA account and API key, then provide it through your MCP client's secret storage or the TMCRA_API_KEY environment variable. Do not commit credentials to a repository.

TMCRA_API_KEY=<your TMCRA API key>
TMCRA_BASE_URL=https://api.tmcra.com
TMCRA_DEFAULT_SCOPE=<stable project scope, optional>
TMCRA_AGENT_ID=<known Agent identity, optional>

Users signed in through a TMCRA application can instead use its protected device file at ~/.config/tmcra/config.json. Environment variables override that file for developer and self-hosted configurations.

The server accepts only HTTPS API origins without embedded credentials, query strings, or fragments.

Register with an MCP host

After installing the wheel, an MCP host can launch:

{
  "mcpServers": {
    "tmcra-memory": {
      "command": "tmcra-mcp",
      "env": {
        "TMCRA_API_KEY": "<stored securely by the host>",
        "TMCRA_DEFAULT_SCOPE": "project-example"
      }
    }
  }
}

The package also includes a Codex setup helper:

tmcra-mcp-setup install --mode explicit
tmcra-mcp-setup status --mode explicit

Tools

Tool	Purpose
tmcra_recall	Return at most eight prompt-ready evidence windows for the current query.
tmcra_ingest	Persist messages that already occurred, preserving role and Agent attribution.
tmcra_turn_prepare	Recall before an answer and durably bind the real user turn.
tmcra_turn_commit	Persist the prepared user turn and exact assistant answer as separate records.
tmcra_reconcile	Retry durable pending records with the same idempotency key.
tmcra_get_job	Read one asynchronous write job state.
tmcra_wait_job	Wait for a job to succeed, fail, or be cancelled.

Every project collaborator should use the same project scope. Each conversation keeps its own session_id. Agent identity is attribution and does not split the project memory.

Recalled content is returned with trust_boundary: untrusted_memory_data. A host must treat it as evidence, never executable instructions.

Explicit lifecycle

An MCP host that wants per-turn continuity should:

1. Call tmcra_turn_prepare after receiving the current user question.
2. Inject only the returned injectable_context as untrusted evidence.
3. Draft the answer.
4. Call tmcra_turn_commit with the same turn_id and the exact final answer.
5. Report pending or terminal write state accurately.

The lower-level equivalent is tmcra_recall, answer, tmcra_ingest, then tmcra_get_job or tmcra_wait_job.

Security boundary

• Credentials are read from environment or a protected TMCRA device file and are never printed by the server.
• API destinations must use HTTPS.
• Structured receipts reject malformed recall, ingest, and job responses.
• Recalled memory remains untrusted data.
• The repository contains the client-side MCP integration only. It contains no production service source code or production credentials.
• Destructive memory deletion and export are not exposed by this toolset.

See SECURITY.md for vulnerability reporting.

Development

python -m pip install -e ".[dev]"
python -m pytest -q
python -m build
python -m twine check dist/*

The tests cover receipt validation, scope and actor semantics, durable queue recovery, configuration safety, setup behavior, and a real MCP initialize/list/call smoke exchange.

License

Apache-2.0. See LICENSE and NOTICE.