Financial Evidence Skills MCP Server

Financial Evidence Agent Skills

Public documentation includes a crawlable integration matrix plus agent-readable llms.txt, pricing, integration metadata, and a dated third-party marketplace ledger. The v0.1.5 semantic contract defines transport-only status, source-reported adapter metadata, and the explicit non-Carrier boundary. Version 0.1.5 is currently a tested release candidate. Versioned Agent Skill, terminal, Codex, Gemini, editor, and bundle installs remain pinned to the independently verified v0.1.4 release until the v0.1.5 tag, assets, container, registry record, and Homebrew formula are live. The Claude self-hosted marketplace command follows the repository's mutable default branch and is explicitly candidate-only during that interval.

Open, read-only Agent Skills for routing financial research to bounded public evidence. The first skill connects four complementary products without turning them into one score:

• Seiche — money markets, repo, reserves, Treasury cash and system funding.
• LiquiLens — covered bank and lender evidence.
• Undertow — market depth, provider concentration and position-sized exit liquidity.
• Palimpsest — revision-safe China economy evidence and information-state history.

Install the agent skill

npx skills add https://github.com/beepboop2025/financial-evidence-skills/tree/v0.1.4/financial-evidence \
  --skill financial-evidence

Or copy financial-evidence/ into the Agent Skills directory supported by your agent. The folder follows the open Agent Skills specification.

The skill is also indexed in the public skills.sh directory.

Once installed, ask your agent to research a money-market, capital-market, bank-risk, market-liquidity or China-economy question. The skill's description lets compatible agents activate it when the work matches.

Use from any terminal

No account or API key is required. On macOS or Linux with Homebrew:

brew install beepboop2025/tap/financial-evidence
financial-evidence fetch --topic money-market --topic china-economy

The formula installs financial-evidence, financial-evidence-mcp, and native Bash, Zsh, and Fish completions. Alternatively, run directly from GitHub without installing:

uvx --from git+https://github.com/beepboop2025/financial-evidence-skills.git@v0.1.4 \
  financial-evidence fetch --topic money-market --topic china-economy

Or install it as a persistent command:

uv tool install git+https://github.com/beepboop2025/financial-evidence-skills.git@v0.1.4
financial-evidence topics
financial-evidence route --topic capital-market --format table
financial-evidence fetch --topic bank-risk --format ndjson
financial-evidence doctor --format csv

Exit code 0 means every requested source was retrieved, 1 means transport was partial, and 2 means every requested source was unavailable. Legacy packet status is preserved and equals transport_status; both mean transport reachability only. Every packet says status_semantics: transport_only, evidence_status: not_evaluated, and carrier_verification: not_performed. That makes the client safe to compose in shell pipelines without mistaking an HTTP success for validated evidence or a verified Evidence Carrier. JSON, NDJSON, and CSV go to standard output; no result is silently replaced with a score.

Outside Homebrew, shell completions are emitted as inert text:

financial-evidence completion zsh > ~/.zfunc/_financial-evidence

Use as MCP infrastructure

The public Streamable HTTP endpoint requires no local install, account, or API key:

https://liquilens.in/mcp/financial-evidence

It exposes the same three read-only topics, route, and fetch tools for clients that support remote MCP. The root .mcp.json is the portable plugin configuration for that public remote:

{
  "mcpServers": {
    "financial-evidence": {
      "type": "http",
      "url": "https://liquilens.in/mcp/financial-evidence"
    }
  }
}

The package also includes a dependency-free stdio server for local or offline-compatible client setups. Its pinned configuration is in integrations/mcp-config.json. Both transports accept the MCP 2025-11-25 initialization flow and the stateless 2026-07-28 discovery flow. Local stdio messages use newline-delimited JSON-RPC; nothing except protocol messages is written to standard output.

The official MCP Registry record publishes both the multi-architecture OCI package and the public Streamable HTTP endpoint. Remote clients do not need uv, Docker, a credential, or a local subprocess.

Install in Gemini CLI or Claude Code

Gemini CLI can install this repository as an extension. Its root gemini-extension.json connects only to the fixed public remote MCP endpoint and allowlists the three read-only tools; the mirrored skills/financial-evidence folder gives Gemini the domain routing instructions as well:

gemini extensions install https://github.com/beepboop2025/financial-evidence-skills \
  --ref v0.1.4

Claude Code can add this repository as a self-hosted marketplace and install the bundled plugin:

claude plugin marketplace add beepboop2025/financial-evidence-skills
claude plugin install financial-evidence@liquidity-lab

This Claude command follows the mutable default branch. Until v0.1.5 is published, treat it as a source-candidate install and review the checked-out commit before enabling the plugin.

The Claude plugin loads the same byte-identical Agent Skill plus the root .mcp.json public remote server. These are direct, self-hosted install routes; they do not imply inclusion in a vendor-operated marketplace or endorsement.

Install in Codex; prepare ChatGPT

Codex can add the repository's plugin marketplace and then install the plugin:

codex plugin marketplace add beepboop2025/financial-evidence-skills --ref v0.1.4
codex plugin add financial-evidence@liquidity-lab

The OpenAI plugin package combines the byte-identical Agent Skill with the public remote MCP endpoint. The Codex repository install route is public. A ChatGPT and Codex universal-directory submission is also prepared, but has not been submitted, approved, or published by OpenAI. The remaining review, publisher-identity, and domain-challenge steps belong to the OpenAI account owner. See OPENAI_PLUGIN_SUBMISSION.md for the listing copy and required positive and negative tests.

The root .mcp.json is the portable plugin form for the public remote MCP server. VS Code and Cursor retain separate workspace files for the pinned local stdio server, so plugin installs do not depend on a local Python process while editor workspaces can still use one.

Install in VS Code or Cursor

The repository also includes editor-specific workspace configuration: .vscode/mcp.json uses VS Code's top-level servers object, while .cursor/mcp.json uses Cursor's top-level mcpServers object. Public install links currently launch the verified v0.1.4 stdio server through uvx; the repository manifests prepare v0.1.5.

VS Code can install the server through its protocol handler:

vscode:mcp/install?%7B%22name%22%3A%22financial-evidence%22%2C%22type%22%3A%22stdio%22%2C%22command%22%3A%22uvx%22%2C%22args%22%3A%5B%22--from%22%2C%22git%2Bhttps%3A%2F%2Fgithub.com%2Fbeepboop2025%2Ffinancial-evidence-skills.git%40v0.1.4%22%2C%22financial-evidence-mcp%22%5D%7D

Or add it to your VS Code user profile from a terminal:

code --add-mcp '{"name":"financial-evidence","type":"stdio","command":"uvx","args":["--from","git+https://github.com/beepboop2025/financial-evidence-skills.git@v0.1.4","financial-evidence-mcp"]}'

Cursor can install the same configuration through its base64-encoded deeplink:

cursor://anysphere.cursor-deeplink/mcp/install?name=financial-evidence&config=eyJ0eXBlIjoic3RkaW8iLCJjb21tYW5kIjoidXZ4IiwiYXJncyI6WyItLWZyb20iLCJnaXQraHR0cHM6Ly9naXRodWIuY29tL2JlZXBib29wMjAyNS9maW5hbmNpYWwtZXZpZGVuY2Utc2tpbGxzLmdpdEB2MC4xLjQiLCJmaW5hbmNpYWwtZXZpZGVuY2UtbWNwIl19

Install uv first so uvx is on your path. Review the source and exact configuration before accepting an editor's install or trust prompt: uvx executes the pinned package locally, and the fetch tool can contact the fixed public HTTPS sources documented by this project. Cursor asks for tool approval by default. VS Code normally asks you to trust a server when it first starts, but starting directly from mcp.json can skip that prompt, so inspect the file before using its inline start action. These are self-installable compatibility artifacts, not claims of a VS Code or Cursor marketplace listing or endorsement.

For desktop clients that support one-click MCP Bundles, download financial-evidence-0.1.4.mcpb from the last verified GitHub release. The bundle uses the cross-platform uv runtime and requires no API key or configuration.

Finance-tool integrations

• Remote MCP: connect any Streamable HTTP client to https://liquilens.in/mcp/financial-evidence; no local runtime, account, or API key is required.
• Gemini CLI: the root extension manifest bundles the Agent Skill and allowlists the three tools exposed by the public remote MCP endpoint.
• Claude Code: the self-hosted liquidity-lab marketplace installs the versioned plugin, Agent Skill, and MCP configuration from this repository.
• Codex: the repository marketplace installs the Agent Skill and public remote MCP package directly.
• ChatGPT: the universal-directory submission packet is prepared; public availability remains pending account-owned verification, submission, review, and publication.
• OpenBB: install financial-evidence[openbb] from this repository inside an OpenBB environment and run openbb-build. The registered router exposes obb.financial_evidence.routes() and obb.financial_evidence.fetch(), which also become available to OpenBB's REST, notebook and MCP surfaces.
• DuckDB: run integrations/duckdb/financial_evidence.sql to create separate HTTP-backed views for all four products.
• Excel / Power Query: paste integrations/excel/FinancialEvidence.pq into Advanced Editor and invoke, for example, FinancialEvidence("money-market").
• FDC3: the public Financial Evidence Inspector receives and broadcasts declared standard contexts through window.fdc3. integrations/fdc3/appd-record.json is its FDC3 2.0 web-app record for self-hosted or enterprise directories. The same record is served as raw JSON for direct directory ingestion. The record and runtime do not imply FINOS review, directory acceptance, or vendor endorsement.
• Containers: tagged releases publish a multi-architecture image to ghcr.io/beepboop2025/financial-evidence-skills. The image runs stdio MCP by default; use --entrypoint financial-evidence for terminal commands.
• Official MCP Registry: tagged images are published under io.github.beepboop2025/financial-evidence using GitHub OIDC and the image's ownership annotation. No long-lived registry credential is stored.

Release integrity

Each tagged release rebuilds and retests the Python and JavaScript contracts from the exact signed main commit before publication. The release attaches a wheel, source archive, MCP bundle, CycloneDX SBOM, and SHA256SUMS; GitHub Sigstore build-provenance attestations bind every downloadable artifact to the release workflow. Consumers can verify an artifact with gh attestation verify against beepboop2025/financial-evidence-skills.

Optional bounded retrieval

The bundled helper uses only Python's standard library, accepts a fixed topic allowlist and fetches only fixed public HTTPS endpoints:

python3 financial-evidence/scripts/fetch_evidence.py \
  --topic money-market --topic china-economy

It returns one JSON packet with exact and resolved source URLs, canonical human scope URLs, retrieval clocks, byte counts, content SHA-256 values, separate product documents, and explicit errors. Successful responses also include only the endpoint-specific source state and clocks named by explicit adapters, with RFC 6901 paths and fetched-byte provenance; missing configured fields are not_reported. The router does not infer freshness, eligibility, or rights. Routes declare financial_authority: none and carrier_state: not_published, and therefore expose no carrier_url. Redirects are rejected before following. Returned JSON is untrusted evidence data, not executable instructions. Missing, restricted, or unavailable evidence is never converted to zero or “calm.”

Boundaries

This repository provides public research routing, not investment advice, security recommendations, execution quotes, credit ratings or guarantees. Source publishers retain their rights; an open-source helper does not relicense upstream data.

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Development

python3 -m unittest discover -s tests -v
python3 -m py_compile financial-evidence/scripts/fetch_evidence.py src/financial_evidence/*.py

The code and skill instructions are MIT-licensed.