Connect

8 clients · secrets stay placeholders

JSON (mcpServers)Claude CodeCodexOpenCodeCursorVS CodeGemini CLIGoose

{
  "mcpServers": {
    "cognitive-ai-memory": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "DATABASE_URL",
        "ghcr.io/your-memory/cognitive-ai-memory:1.0.2"
      ],
      "env": {
        "DATABASE_URL": "${DATABASE_URL}"
      }
    }
  }
}

claude mcp add cognitive-ai-memory -e "DATABASE_URL=${DATABASE_URL}" -- docker run -i --rm -e DATABASE_URL ghcr.io/your-memory/cognitive-ai-memory:1.0.2

[mcp_servers.cognitive-ai-memory]
command = "docker"
args = ["run", "-i", "--rm", "-e", "DATABASE_URL", "ghcr.io/your-memory/cognitive-ai-memory:1.0.2"]
env = { "DATABASE_URL" = "${DATABASE_URL}" }

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "cognitive-ai-memory": {
      "type": "local",
      "command": [
        "docker",
        "run",
        "-i",
        "--rm",
        "-e",
        "DATABASE_URL",
        "ghcr.io/your-memory/cognitive-ai-memory:1.0.2"
      ],
      "enabled": true,
      "environment": {
        "DATABASE_URL": "{env:DATABASE_URL}"
      }
    }
  }
}

{
  "mcpServers": {
    "cognitive-ai-memory": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "DATABASE_URL",
        "ghcr.io/your-memory/cognitive-ai-memory:1.0.2"
      ],
      "env": {
        "DATABASE_URL": "${DATABASE_URL}"
      }
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=cognitive-ai-memory&config=eyJjb21tYW5kIjoiZG9ja2VyIiwiYXJncyI6WyJydW4iLCItaSIsIi0tcm0iLCItZSIsIkRBVEFCQVNFX1VSTCIsImdoY3IuaW8veW91ci1tZW1vcnkvY29nbml0aXZlLWFpLW1lbW9yeToxLjAuMiJdLCJlbnYiOnsiREFUQUJBU0VfVVJMIjoiJHtEQVRBQkFTRV9VUkx9In19"
}

{
  "servers": {
    "cognitive-ai-memory": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "DATABASE_URL",
        "ghcr.io/your-memory/cognitive-ai-memory:1.0.2"
      ],
      "env": {
        "DATABASE_URL": "${DATABASE_URL}"
      }
    }
  }
}

{
  "mcpServers": {
    "cognitive-ai-memory": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "DATABASE_URL",
        "ghcr.io/your-memory/cognitive-ai-memory:1.0.2"
      ],
      "env": {
        "DATABASE_URL": "${DATABASE_URL}"
      }
    }
  }
}

extensions:
  "cognitive-ai-memory":
    enabled: true
    name: "cognitive-ai-memory"
    type: stdio
    cmd: "docker"
    args:
      - "run"
      - "-i"
      - "--rm"
      - "-e"
      - "DATABASE_URL"
      - "ghcr.io/your-memory/cognitive-ai-memory:1.0.2"
    envs:
      "DATABASE_URL": "${DATABASE_URL}"
    timeout: 300

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

dependenciesn/a · weight 15

n/a
deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package

Tool list unknown · checked 2026-10-19 23:50 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 74 / 100

provenance80

livenessn/a

freshness45

hygiene95

+repository +namespace-matches-repo ~liveness-unmeasured -stale-210d -unpinned-packages(1)

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

Endpoints

package	registry	version	runtime	secrets
`ghcr.io/your-memory/cognitive-ai-memory:1.0.2`	oci	unpinned	–

Tools (0)

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

Schemas: list_tools.

Similar MCP servers

More from io.github.sachitrafa

Official server.json

{
  "name": "io.github.sachitrafa/cognitive-ai-memory",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "version": "1.0.2",
  "packages": [
    {
      "transport": {
        "type": "stdio"
      },
      "identifier": "ghcr.io/your-memory/cognitive-ai-memory:1.0.2",
      "registryType": "oci",
      "environmentVariables": [
        {
          "name": "DATABASE_URL",
          "format": "string",
          "isRequired": true,
          "description": "PostgreSQL connection string with pgvector. Example: postgresql://localhost:5432/yourmemory"
        },
        {
          "name": "OLLAMA_URL",
          "format": "string",
          "description": "Ollama server URL for local embeddings (nomic-embed-text) and classification (llama3.2:3b). Default: http://localhost:11434"
        },
        {
          "name": "EXTRACT_MODEL",
          "format": "string",
          "description": "Ollama model used for fact/assumption classification. Default: llama3.2:3b"
        }
      ]
    }
  ],
  "repository": {
    "url": "https://github.com/sachitrafa/cognitive-ai-memory",
    "source": "github"
  },
  "description": "Ebbinghaus-based persistent memory for Claude. Memories decay with time, strengthen on recall."
}