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DataCharter

Official registry Security

Local-first, contract-governed data explorer with read-only, PII-masked query tools for AI agents.

Source code Documentation

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

PYPI package datacharter
Claude Code 
claude mcp add datacharter -- uvx datacharter==0.44.0 mcp '<workspace>'
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "datacharter": {
            "command": "uvx",
            "args": [
                "datacharter==0.44.0",
                "mcp",
                "<workspace>"
            ]
        }
    }
}

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. DataCharter
  2. Laptop
  3. Company
  4. What the contract enforces
  5. Privacy
  6. License

DataCharter

Query all your data locally. Hand agents exactly the columns you choose.

A local SQL workspace over files and databases, federated by DuckDB and governed by charter.yaml. Agents get read-only, PII-masked access to what the contract grants. Apache-2.0. No paid edition.

datacharter.dev · Docs · Desktop · GovBench · Deploy

Two ways in. Same kernel.

Laptop

Drop a file. Query it. Chart it. An agent sees ••• where PII lives.

uvx datacharter serve          # demo workspace, http://127.0.0.1:8321
# or: datacharter init --from && datacharter serve
# or: datacharter init --template life && datacharter serve --local

No terminal: desktop app (beta). macOS (Apple Silicon) or Windows. Unsigned until Apple secrets exist.

brew install datacharter/tap/datacharter   # macOS
pip install datacharter                    # Python 3.11+

The workspace is a directory: charter.yaml, queries/, guides/. Commit it. Secrets stay out. Optional agent: SpaceXAI, Claude Code, Ollama (--local), or any OpenAI-compatible endpoint.

Company

The same binary, on a shared MCP endpoint. Identities live in git, not on our servers. No rows leave your infrastructure.

datacharter mcp --http --host 0.0.0.0   # OAuth env required off loopback
helm install datacharter ./chart \
  --set oauth.issuer=... --set oauth.audience=... --set oauth.jwksUri=...
datacharter govbench --json             # cite corpus govbench-v1
  • MCP Streamable HTTP (POST /mcp) with optional OAuth 2.1
  • principals: and grants: in charter.yaml (default-deny on HTTP)
  • Helm chart and OCI image
  • Hash-chained audit plus SIEM JSON/OTLP
  • GovBench: frozen 28-attack corpus, grade A-F

Wrap someone else's MCP server: datacharter mcp --guard "npx -y some-mcp-server".

What the contract enforces

PII default-deny, row filters, plain-English policies (aggregates only), canaries, a flight recorder, datacharter redteam, access diff on PRs. CLI reference: docs/cli.md. Security: docs/security.md.

Status: pre-release. V1 in development.

Privacy

Runs on your machine or in your cluster. No telemetry. No DataCharter-operated data plane. Privacy Policy.

License

Apache-2.0

Frequently asked questions

What is DataCharter?

Local-first, contract-governed data explorer with read-only, PII-masked query tools for AI agents.

How do I install DataCharter?

It runs on your machine. In Claude Code: claude mcp add datacharter -- uvx datacharter==0.44.0 mcp '<workspace>'. For other clients, paste the JSON configuration from this page into their MCP settings.

Does DataCharter need an API key?

Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.

Is DataCharter open source?

Yes. Its code is on GitHub under the Apache-2.0 license.

Who maintains DataCharter?

It is published by datacharter. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.