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SEC Intelligence

L0· runs locally

SEC 10-K/10-Q/8-K search, RAG Q&A, comparison, and anomaly detection with citations.

v0.1.1 · active · repository · descriptor JSON · versions

Runs on your machine: something must execute the package.Only local packages are published (npm, PyPI, OCI, …). The registry never executes them, so tools are unknown until you run it.
Quality–not scored
Trust87of 100
Packages1
Tools seen0

Connect

8 clients · secrets stay placeholders
{
  "mcpServers": {
    "sec-intelligence-mcp": {
      "command": "uvx",
      "args": [
        "sec-intelligence-mcp==0.1.1"
      ],
      "env": {
        "GEMINI_API_KEY": "${GEMINI_API_KEY}",
        "QDRANT_URL": "${QDRANT_URL}",
        "QDRANT_API_KEY": "${QDRANT_API_KEY}",
        "LANGFUSE_SECRET_KEY": "${LANGFUSE_SECRET_KEY}",
        "LANGFUSE_PUBLIC_KEY": "${LANGFUSE_PUBLIC_KEY}",
        "SEC_EDGAR_USER_AGENT": "sec-intelligence-mcp [email protected]",
        "EMBEDDING_MODEL": "intfloat/e5-base-v2",
        "GEMINI_MODEL": "gemini-flash-lite-latest"
      }
    }
  }
}
claude mcp add sec-intelligence-mcp -e "GEMINI_API_KEY=${GEMINI_API_KEY}" -e "QDRANT_URL=${QDRANT_URL}" -e "QDRANT_API_KEY=${QDRANT_API_KEY}" -e "LANGFUSE_SECRET_KEY=${LANGFUSE_SECRET_KEY}" -e "LANGFUSE_PUBLIC_KEY=${LANGFUSE_PUBLIC_KEY}" -e "SEC_EDGAR_USER_AGENT=sec-intelligence-mcp [email protected]" -e "EMBEDDING_MODEL=intfloat/e5-base-v2" -e "GEMINI_MODEL=gemini-flash-lite-latest" -- uvx sec-intelligence-mcp==0.1.1
[mcp_servers.sec-intelligence-mcp]
command = "uvx"
args = ["sec-intelligence-mcp==0.1.1"]
env = { "GEMINI_API_KEY" = "${GEMINI_API_KEY}", "QDRANT_URL" = "${QDRANT_URL}", "QDRANT_API_KEY" = "${QDRANT_API_KEY}", "LANGFUSE_SECRET_KEY" = "${LANGFUSE_SECRET_KEY}", "LANGFUSE_PUBLIC_KEY" = "${LANGFUSE_PUBLIC_KEY}", "SEC_EDGAR_USER_AGENT" = "sec-intelligence-mcp [email protected]", "EMBEDDING_MODEL" = "intfloat/e5-base-v2", "GEMINI_MODEL" = "gemini-flash-lite-latest" }

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "sec-intelligence-mcp": {
      "type": "local",
      "command": [
        "uvx",
        "sec-intelligence-mcp==0.1.1"
      ],
      "enabled": true,
      "environment": {
        "GEMINI_API_KEY": "{env:GEMINI_API_KEY}",
        "QDRANT_URL": "{env:QDRANT_URL}",
        "QDRANT_API_KEY": "{env:QDRANT_API_KEY}",
        "LANGFUSE_SECRET_KEY": "{env:LANGFUSE_SECRET_KEY}",
        "LANGFUSE_PUBLIC_KEY": "{env:LANGFUSE_PUBLIC_KEY}",
        "SEC_EDGAR_USER_AGENT": "sec-intelligence-mcp [email protected]",
        "EMBEDDING_MODEL": "intfloat/e5-base-v2",
        "GEMINI_MODEL": "gemini-flash-lite-latest"
      }
    }
  }
}
{
  "mcpServers": {
    "sec-intelligence-mcp": {
      "command": "uvx",
      "args": [
        "sec-intelligence-mcp==0.1.1"
      ],
      "env": {
        "GEMINI_API_KEY": "${GEMINI_API_KEY}",
        "QDRANT_URL": "${QDRANT_URL}",
        "QDRANT_API_KEY": "${QDRANT_API_KEY}",
        "LANGFUSE_SECRET_KEY": "${LANGFUSE_SECRET_KEY}",
        "LANGFUSE_PUBLIC_KEY": "${LANGFUSE_PUBLIC_KEY}",
        "SEC_EDGAR_USER_AGENT": "sec-intelligence-mcp [email protected]",
        "EMBEDDING_MODEL": "intfloat/e5-base-v2",
        "GEMINI_MODEL": "gemini-flash-lite-latest"
      }
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=sec-intelligence-mcp&config=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"
}
{
  "servers": {
    "sec-intelligence-mcp": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "sec-intelligence-mcp==0.1.1"
      ],
      "env": {
        "GEMINI_API_KEY": "${GEMINI_API_KEY}",
        "QDRANT_URL": "${QDRANT_URL}",
        "QDRANT_API_KEY": "${QDRANT_API_KEY}",
        "LANGFUSE_SECRET_KEY": "${LANGFUSE_SECRET_KEY}",
        "LANGFUSE_PUBLIC_KEY": "${LANGFUSE_PUBLIC_KEY}",
        "SEC_EDGAR_USER_AGENT": "sec-intelligence-mcp [email protected]",
        "EMBEDDING_MODEL": "intfloat/e5-base-v2",
        "GEMINI_MODEL": "gemini-flash-lite-latest"
      }
    }
  }
}
{
  "mcpServers": {
    "sec-intelligence-mcp": {
      "command": "uvx",
      "args": [
        "sec-intelligence-mcp==0.1.1"
      ],
      "env": {
        "GEMINI_API_KEY": "${GEMINI_API_KEY}",
        "QDRANT_URL": "${QDRANT_URL}",
        "QDRANT_API_KEY": "${QDRANT_API_KEY}",
        "LANGFUSE_SECRET_KEY": "${LANGFUSE_SECRET_KEY}",
        "LANGFUSE_PUBLIC_KEY": "${LANGFUSE_PUBLIC_KEY}",
        "SEC_EDGAR_USER_AGENT": "sec-intelligence-mcp [email protected]",
        "EMBEDDING_MODEL": "intfloat/e5-base-v2",
        "GEMINI_MODEL": "gemini-flash-lite-latest"
      }
    }
  }
}
extensions:
  "sec-intelligence-mcp":
    enabled: true
    name: "sec-intelligence-mcp"
    type: stdio
    cmd: "uvx"
    args:
      - "sec-intelligence-mcp==0.1.1"
    envs:
      "GEMINI_API_KEY": "${GEMINI_API_KEY}"
      "QDRANT_URL": "${QDRANT_URL}"
      "QDRANT_API_KEY": "${QDRANT_API_KEY}"
      "LANGFUSE_SECRET_KEY": "${LANGFUSE_SECRET_KEY}"
      "LANGFUSE_PUBLIC_KEY": "${LANGFUSE_PUBLIC_KEY}"
      "SEC_EDGAR_USER_AGENT": "sec-intelligence-mcp [email protected]"
      "EMBEDDING_MODEL": "intfloat/e5-base-v2"
      "GEMINI_MODEL": "gemini-flash-lite-latest"
    timeout: 300

Placeholders to fill from your own secret store: ${GEMINI_API_KEY}, ${QDRANT_API_KEY}, ${LANGFUSE_SECRET_KEY}. The registry never accepts secret values.

This is a local package: the command runs on your machine.

Quality – / 100not scored

Not scored: fewer than three checks apply, usually because no remote answered a credential-free probe or the server is a local package.

protocoln/a · weight 25
  • n/a
    protocol.modern, protocol.stateless, protocol.transport, protocol.list_ttlno remote answered a protocol handshake (not probed yet, unreachable, or local-only)
authorizationn/a · weight 15
  • n/a
    auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
  • n/a
    auth.secret_in_urlno templated URL
tool hygienen/a · weight 30
  • n/a
    tools.descriptions, tools.description_length, tools.schemas, tools.annotations, tools.directory_hints, tools.token_cost, tools.api_dumptool list unknown (behind auth, not probed, or empty)
stabilityn/a · weight 15
  • n/a
    stability.changes, stability.rug_pulltool list unknown
dependencies67 · weight 15
  • fail
    deps.known_vulns4 advisories to act on (malicious, or rated high or critical with a fix available): GHSA-2g87-pp6c-29x5 in [email protected] (indirect, fixed in 3.14.4), GHSA-5wr8-gcqf-gqf3 in [email protected] (indirect, fixed in 3.14.4), GHSA-qh6h-p6c9-ff54 in [email protected] (indirect, fixed in 1.2.22), ...; 7 more of lower severity or without a fix
  • pass
    deps.mcp_sdk_versionmcp 1.30.0, no known advisory
  • pass
    deps.resolvable[email protected] resolved: 165 packages

Tool list unknown · checked 2026-10-20 14:21 UTC

Tool changes

No tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 87 / 100

provenance80
livenessn/a
freshness85
hygiene100

+repository +namespace-matches-repo ~liveness-unmeasured ~updated-38d-ago

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Dependencies

[email protected] PyPI164 dependencies, resolved · MCP SDK mcp 1.30.0 · advisories checked 2026-10-19

advisoryseveritypackagefixed in
GHSA-2g87-pp6c-29x5aiohttp: Multiple instances of excessive or unbounded memory/CPU usehigh[email protected]indirectfixed in 3.14.4
GHSA-5wr8-gcqf-gqf3aiohttp server lacks an initial request/header timeouthigh[email protected]indirectfixed in 3.14.4
GHSA-qh6h-p6c9-ff54LangChain Core has Path Traversal vulnerabilites in legacy `load_prompt` functionshigh[email protected]indirectfixed in 1.2.22
GHSA-v2xr-wvrv-p969RAGAS has an Arbitrary File Read vulnerabilityhigh[email protected]directfixed in 0.3.0-rc1
GHSA-gr75-jv2w-4656LangChain: Path traversal and sandbox escape in LangChain file-search middleware and loadersmoderate[email protected]indirectfixed in 1.3.9
GHSA-fv5p-p927-qmxrLangChain Text Splitters: HTMLHeaderTextSplitter.split_text_from_url SSRF Redirect Bypassmoderate[email protected]indirectfixed in 1.1.2
GHSA-w8v5-vhqr-4h9vDiskCache has unsafe pickle deserializationmoderate[email protected]indirectno fix yet
GHSA-494j-54xm-rwp3AIOHTTP: Secure attribute not enforced for shared cookielow[email protected]indirectfixed in 3.14.4
GHSA-2g6r-c272-w58rLangChain affected by SSRF via image_url token counting in ChatOpenAI.get_num_tokens_from_messageslow[email protected]indirectfixed in 1.2.11
GHSA-r7w7-9xr2-qq2rlangchain-openai: Image token counting SSRF protection can be bypassed via DNS rebindinglow[email protected]indirectfixed in 1.1.14

1 more advisories in the dependencies endpoint.

Dependency graphs from deps.dev; advisories from OSV.dev, including the GitHub Advisory Database and the PyPI Advisory Database; all CC BY 4.0. The graph is what a clean install of this version resolves today; nothing was installed or run. How it is checked.

Endpoints

packageregistryversionruntimesecrets
sec-intelligence-mcppypi0.1.1uvxGEMINI_API_KEY, QDRANT_API_KEY, LANGFUSE_SECRET_KEY

Tools (0)

No tools observed. Local packages are never executed by the registry.

Schemas: list_tools.

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Official server.json
{
  "name": "io.github.jahanv01/sec-intelligence-mcp",
  "title": "SEC Intelligence",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "version": "0.1.1",
  "packages": [
    {
      "version": "0.1.1",
      "transport": {
        "type": "stdio"
      },
      "identifier": "sec-intelligence-mcp",
      "runtimeHint": "uvx",
      "registryType": "pypi",
      "registryBaseUrl": "https://pypi.org",
      "environmentVariables": [
        {
          "name": "GEMINI_API_KEY",
          "isSecret": true,
          "isRequired": true,
          "description": "Google Gemini API key (free tier). Get one at https://aistudio.google.com/apikey"
        },
        {
          "name": "QDRANT_URL",
          "isRequired": true,
          "description": "Qdrant vector database URL, e.g. http://localhost:6333 for local Docker, or a Qdrant Cloud cluster URL"
        },
        {
          "name": "QDRANT_API_KEY",
          "isSecret": true,
          "description": "Only needed for a hosted Qdrant Cloud instance; leave unset for local Qdrant"
        },
        {
          "name": "LANGFUSE_SECRET_KEY",
          "isSecret": true,
          "isRequired": true,
          "description": "LangFuse secret key for observability (free tier). Get one at https://cloud.langfuse.com"
        },
        {
          "name": "LANGFUSE_PUBLIC_KEY",
          "isRequired": true,
          "description": "LangFuse public key, paired with LANGFUSE_SECRET_KEY"
        },
        {
          "name": "SEC_EDGAR_USER_AGENT",
          "default": "sec-intelligence-mcp [email protected]",
          "description": "Identifying User-Agent for SEC EDGAR requests, e.g. \"YourApp [email protected]\""
        },
        {
          "name": "EMBEDDING_MODEL",
          "default": "intfloat/e5-base-v2",
          "description": "sentence-transformers model for embeddings"
        },
        {
          "name": "GEMINI_MODEL",
          "default": "gemini-flash-lite-latest",
          "description": "Gemini model for answer generation"
        }
      ]
    }
  ],
  "repository": {
    "url": "https://github.com/jahanv01/sec-intelligence-mcp",
    "source": "github"
  },
  "description": "SEC 10-K/10-Q/8-K search, RAG Q&A, comparison, and anomaly detection with citations."
}