financial-evidence
Allows querying financial evidence from money markets, bank risk, market liquidity, and China economy data through DuckDB using HTTP-backed views.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@financial-evidenceWhat are the latest money-market and bank-risk trends?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Financial Evidence Agent Skills
Public documentation
includes a crawlable integration matrix plus agent-readable llms.txt, pricing,
and integration metadata.
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 beepboop2025/financial-evidence-skills --skill financial-evidenceOr 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.
Related MCP server: NanoSearchMCP
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-economyThe 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@v0.1.3 \
financial-evidence fetch --topic money-market --topic china-economyOr install it as a persistent command:
uv tool install git+https://github.com/beepboop2025/financial-evidence-skills.git@v0.1.3
financial-evidence topics
financial-evidence route --topic capital-market --format table
financial-evidence fetch --topic bank-risk --format ndjson
financial-evidence doctor --format csvExit code 0 means every requested source succeeded, 1 means a partial
packet, and 2 means every requested source was unavailable. That makes the
client safe to compose in shell pipelines and scheduled jobs. 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-evidenceUse as MCP infrastructure
The public Streamable HTTP endpoint requires no local install, account, or API key:
https://liquilens.in/mcp/financial-evidenceIt exposes the same three read-only topics, route, and fetch tools for
clients that support remote MCP. The package also includes a dependency-free
stdio server for local or offline-compatible client setups. A portable stdio
configuration is in
the root .mcp.json and is mirrored in
integrations/mcp-config.json:
{
"mcpServers": {
"financial-evidence": {
"type": "stdio",
"command": "uvx",
"args": [
"--from",
"git+https://github.com/beepboop2025/financial-evidence-skills.git@v0.1.3",
"financial-evidence-mcp"
]
}
}
}It accepts both the MCP 2025-11-25 initialization flow and the stateless
2026-07-28 discovery flow. Messages use newline-delimited JSON-RPC on stdio;
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 v0.1.3Claude 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-labThe Claude plugin loads the same byte-identical Agent Skill plus the root
.mcp.json stdio 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 main
codex plugin add financial-evidence@liquidity-labThe 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 workspace form read natively by Copilot
Agent Host and other compatible clients. VS Code forwards .vscode/mcp.json
to Agent Host for ordinary local sessions, but the root file avoids relying on
that forwarding path.
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. Both launch the same v0.1.3 stdio server through uvx.
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%40v0.1.3%22%2C%22financial-evidence-mcp%22%5D%7DOr 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@v0.1.3","financial-evidence-mcp"]}'Cursor can install the same configuration through its base64-encoded deeplink:
cursor://anysphere.cursor-deeplink/mcp/install?name=financial-evidence&config=eyJ0eXBlIjoic3RkaW8iLCJjb21tYW5kIjoidXZ4IiwiYXJncyI6WyItLWZyb20iLCJnaXQraHR0cHM6Ly9naXRodWIuY29tL2JlZXBib29wMjAyNS9maW5hbmNpYWwtZXZpZGVuY2Utc2tpbGxzLmdpdEB2MC4xLjMiLCJmaW5hbmNpYWwtZXZpZGVuY2UtbWNwIl19Install 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-0.1.3.mcpb from the 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-labmarketplace 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 runopenbb-build. The registered router exposesobb.financial_evidence.routes()andobb.financial_evidence.fetch(), which also become available to OpenBB's REST, notebook and MCP surfaces.DuckDB: run
integrations/duckdb/financial_evidence.sqlto create separate HTTP-backed views for all four products.Excel / Power Query: paste
integrations/excel/FinancialEvidence.pqinto 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.jsonis 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-evidencefor terminal commands.Official MCP Registry: tagged images are published under
io.github.beepboop2025/financial-evidenceusing GitHub OIDC and the image's ownership annotation. No long-lived registry credential is stored.
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-economyIt returns one JSON packet with exact and resolved source URLs, retrieval clocks, byte counts, content SHA-256 values, separate product documents and explicit errors. 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.
Development
python3 -m unittest discover -s tests -v
python3 -m py_compile financial-evidence/scripts/fetch_evidence.py src/financial_evidence/*.pyThe code and skill instructions are MIT-licensed.
This server cannot be installed
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