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    SEC Intelligence

    mcpkey · package
    io.github.jahanv01/sec-intelligence-mcp · v0.1.1
    deploy just this

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

    run it

    on your own machines, one way per deploy method
    generated from the record, not tested yet
    #!/usr/bin/env bash
# sec-intelligence (io.github.jahanv01/sec-intelligence-mcp), recipe baremetal (generated).
# Generated by Hub for toolset "my-agent"; started by mcp-my-agent-sec-intelligence.service.
set -euo pipefail
export HOST=127.0.0.1 PORT=8101
exec uvx mcp-proxy --host 127.0.0.1 --port 8101 --pass-environment -- uvx sec-intelligence-mcp==0.1.1

[Unit]
Description=MCP server sec-intelligence (toolset my-agent), generated by Hub
After=network-online.target
Wants=network-online.target

[Service]
Type=simple
User=mcp
Group=mcp
EnvironmentFile=/etc/mcp/my-agent.env
Environment=HOME=/var/lib/mcp/sec-intelligence
WorkingDirectory=/var/lib/mcp/sec-intelligence
ExecStart=/opt/mcp/my-agent/bin/sec-intelligence.sh
Restart=on-failure
RestartSec=5
NoNewPrivileges=true
ProtectSystem=strict
ProtectHome=true
PrivateTmp=true
ReadWritePaths=/var/lib/mcp/sec-intelligence

[Install]
WantedBy=multi-user.target
    generated from the record, not tested yet
    docker run --rm -p 127.0.0.1:8101:8000 -e GEMINI_API_KEY -e QDRANT_URL -e QDRANT_API_KEY -e LANGFUSE_SECRET_KEY -e LANGFUSE_PUBLIC_KEY -e SEC_EDGAR_USER_AGENT -e EMBEDDING_MODEL -e GEMINI_MODEL ghcr.io/astral-sh/uv:python3.12-bookworm-slim sh -c 'uvx mcp-proxy --host 0.0.0.0 --port 8000 --pass-environment -- uvx sec-intelligence-mcp==0.1.1'
    generated from the record, not tested yet
    # Generated by Hub for toolset "my-agent" (2026-10-18T13:41:43+00:00).
# Each package server runs behind a stdio->HTTP bridge and listens on localhost only.
#   cp .env.example .env    # fill the ${VAR}s
#   docker compose up -d && bash smoke.sh
# Remote servers are not here: clients reach them directly (see clients/).
name: mcp-my-agent
services:
  sec-intelligence:
    image: ghcr.io/astral-sh/uv:python3.12-bookworm-slim
    command:
    - sh
    - -c
    - uvx mcp-proxy --host 0.0.0.0 --port 8000 --pass-environment -- uvx sec-intelligence-mcp==0.1.1
    ports:
    - 127.0.0.1:8101:8000
    volumes:
    - uv-cache:/root/.cache/uv
    healthcheck:
      test:
      - CMD
      - python3
      - -c
      - import urllib.request; urllib.request.urlopen('http://127.0.0.1:8000/status')
      interval: 30s
      timeout: 5s
      retries: 5
      start_period: 2m
    restart: unless-stopped
    environment:
      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_EDGAR_USER_AGENT}
      EMBEDDING_MODEL: ${EMBEDDING_MODEL}
      GEMINI_MODEL: ${GEMINI_MODEL}
volumes:
  npm-cache: {}
  uv-cache: {}
    generated from the record, not tested yet
    # Generated by Hub for toolset "my-agent" (2026-10-18T13:41:43+00:00).
#   kubectl create namespace mcp
#   kubectl -n mcp create secret generic mcp-credentials --from-env-file=.env
#   kubectl apply -f kubernetes.yaml
# Services are cluster-internal: <name>.mcp.svc.cluster.local:8000/mcp. Put an ingress
# with auth in front before exposing any of them.
apiVersion: v1
kind: Namespace
metadata:
  name: mcp
---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: sec-intelligence
  namespace: mcp
  labels: &id001
    app: sec-intelligence
spec:
  replicas: 1
  selector:
    matchLabels: *id001
  template:
    metadata:
      labels: *id001
    spec:
      containers:
      - name: sec-intelligence
        image: ghcr.io/astral-sh/uv:python3.12-bookworm-slim
        ports:
        - containerPort: 8000
          name: http
        env:
        - name: GEMINI_API_KEY
          valueFrom:
            secretKeyRef:
              name: mcp-credentials
              key: GEMINI_API_KEY
        - name: QDRANT_URL
          valueFrom:
            secretKeyRef:
              name: mcp-credentials
              key: QDRANT_URL
        - name: QDRANT_API_KEY
          valueFrom:
            secretKeyRef:
              name: mcp-credentials
              key: QDRANT_API_KEY
        - name: LANGFUSE_SECRET_KEY
          valueFrom:
            secretKeyRef:
              name: mcp-credentials
              key: LANGFUSE_SECRET_KEY
        - name: LANGFUSE_PUBLIC_KEY
          valueFrom:
            secretKeyRef:
              name: mcp-credentials
              key: LANGFUSE_PUBLIC_KEY
        - name: SEC_EDGAR_USER_AGENT
          valueFrom:
            secretKeyRef:
              name: mcp-credentials
              key: SEC_EDGAR_USER_AGENT
        - name: EMBEDDING_MODEL
          valueFrom:
            secretKeyRef:
              name: mcp-credentials
              key: EMBEDDING_MODEL
        - name: GEMINI_MODEL
          valueFrom:
            secretKeyRef:
              name: mcp-credentials
              key: GEMINI_MODEL
        command:
        - sh
        - -c
        - uvx mcp-proxy --host 0.0.0.0 --port 8000 --pass-environment -- uvx sec-intelligence-mcp==0.1.1
        readinessProbe:
          httpGet:
            path: /status
            port: http
          initialDelaySeconds: 10
---
apiVersion: v1
kind: Service
metadata:
  name: sec-intelligence
  namespace: mcp
spec:
  selector:
    app: sec-intelligence
  ports:
  - port: 8000
    targetPort: http
    name: http
    generated from the record, not tested yet
    # Generated by Hub for toolset "my-agent" (2026-10-18T13:41:43+00:00).
# Credentials come from the Secret 'mcp-credentials' (kubectl create secret generic ... --from-env-file=.env).
# Each server under `servers` is one Deployment + Service; the keys after it configure
# upstream charts a worker verified.
servers:
  sec-intelligence:
    enabled: true
    replicas: 1
    port: 8000
    path: /mcp
    container:
      name: sec-intelligence
      image: ghcr.io/astral-sh/uv:python3.12-bookworm-slim
      ports:
      - containerPort: 8000
        name: http
      env:
      - name: GEMINI_API_KEY
        valueFrom:
          secretKeyRef:
            name: mcp-credentials
            key: GEMINI_API_KEY
      - name: QDRANT_URL
        valueFrom:
          secretKeyRef:
            name: mcp-credentials
            key: QDRANT_URL
      - name: QDRANT_API_KEY
        valueFrom:
          secretKeyRef:
            name: mcp-credentials
            key: QDRANT_API_KEY
      - name: LANGFUSE_SECRET_KEY
        valueFrom:
          secretKeyRef:
            name: mcp-credentials
            key: LANGFUSE_SECRET_KEY
      - name: LANGFUSE_PUBLIC_KEY
        valueFrom:
          secretKeyRef:
            name: mcp-credentials
            key: LANGFUSE_PUBLIC_KEY
      - name: SEC_EDGAR_USER_AGENT
        valueFrom:
          secretKeyRef:
            name: mcp-credentials
            key: SEC_EDGAR_USER_AGENT
      - name: EMBEDDING_MODEL
        valueFrom:
          secretKeyRef:
            name: mcp-credentials
            key: EMBEDDING_MODEL
      - name: GEMINI_MODEL
        valueFrom:
          secretKeyRef:
            name: mcp-credentials
            key: GEMINI_MODEL
      command:
      - sh
      - -c
      - uvx mcp-proxy --host 0.0.0.0 --port 8000 --pass-environment -- uvx sec-intelligence-mcp==0.1.1
      readinessProbe:
        httpGet:
          path: /status
          port: http
        initialDelaySeconds: 10

# helm install my-agent helm/my-agent -n mcp

    in the cloud

    one click: the provider's deploy form opens filled in, in your own account
    koyeb
    deploy to koyeb

    The form opens with CHANGE_ME for each value you supply: GEMINI_API_KEY, QDRANT_URL, QDRANT_API_KEY, LANGFUSE_SECRET_KEY, LANGFUSE_PUBLIC_KEY, SEC_EDGAR_USER_AGENT, EMBEDDING_MODEL, GEMINI_MODEL. Fill them in before you deploy.

    Clients connect to the service's https://…koyeb.app address plus /mcp.

    azure
    deploy to azuretemplate

    A Container Apps environment with one app per server, each with HTTPS ingress and one replica. The portal asks for each value you supply as a secure parameter; the deployment's outputs list the endpoints.

    connect to it

    copy what your client needs
    uvx sec-intelligence-mcp==0.1.1
# env: GEMINI_API_KEY, QDRANT_URL, QDRANT_API_KEY, LANGFUSE_SECRET_KEY, LANGFUSE_PUBLIC_KEY, SEC_EDGAR_USER_AGENT, EMBEDDING_MODEL, GEMINI_MODEL
    {
  "mcpServers": {
    "sec-intelligence": {
      "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_EDGAR_USER_AGENT}",
        "EMBEDDING_MODEL": "${EMBEDDING_MODEL}",
        "GEMINI_MODEL": "${GEMINI_MODEL}"
      }
    }
  }
}
    #!/usr/bin/env bash
# Registers every server with Claude Code (run once; `claude mcp list` to check).
set -euo pipefail
set -a; [ -f .env ] && source .env; set +a
claude mcp add sec-intelligence -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_EDGAR_USER_AGENT}" -e "EMBEDDING_MODEL=${EMBEDDING_MODEL}" -e "GEMINI_MODEL=${GEMINI_MODEL}" -- uvx sec-intelligence-mcp==0.1.1

    {
  "mcpServers": {
    "sec-intelligence": {
      "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_EDGAR_USER_AGENT}",
        "EMBEDDING_MODEL": "${EMBEDDING_MODEL}",
        "GEMINI_MODEL": "${GEMINI_MODEL}"
      }
    }
  }
}
    {
  "servers": {
    "sec-intelligence": {
      "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_EDGAR_USER_AGENT}",
        "EMBEDDING_MODEL": "${EMBEDDING_MODEL}",
        "GEMINI_MODEL": "${GEMINI_MODEL}"
      }
    }
  }
}
    name: my-agent
target: local
servers:
- hub: io.github.jahanv01/sec-intelligence-mcp
    • not probed yet: tools unpinned, ingest lists them

    tools

    Not probed yetThe tools appear once the hub or its worker has listed this entry. Running it still works: your client lists them on first start.