Connect

8 clients · secrets stay placeholders

JSON (mcpServers)Claude CodeCodexOpenCodeCursorVS CodeGemini CLIGoose

{
  "mcpServers": {
    "a-mem-mcp": {
      "command": "uvx",
      "args": [
        "a-mem==0.2.1"
      ],
      "env": {
        "LLM_BACKEND": "openai",
        "LLM_MODEL": "gpt-4o-mini",
        "OPENAI_API_KEY": "${OPENAI_API_KEY}",
        "EMBEDDING_MODEL": "all-MiniLM-L6-v2",
        "CHROMA_DB_PATH": "./chroma_db"
      }
    }
  }
}

claude mcp add a-mem-mcp -e "LLM_BACKEND=openai" -e "LLM_MODEL=gpt-4o-mini" -e "OPENAI_API_KEY=${OPENAI_API_KEY}" -e "EMBEDDING_MODEL=all-MiniLM-L6-v2" -e "CHROMA_DB_PATH=./chroma_db" -- uvx a-mem==0.2.1

[mcp_servers.a-mem-mcp]
command = "uvx"
args = ["a-mem==0.2.1"]
env = { "LLM_BACKEND" = "openai", "LLM_MODEL" = "gpt-4o-mini", "OPENAI_API_KEY" = "${OPENAI_API_KEY}", "EMBEDDING_MODEL" = "all-MiniLM-L6-v2", "CHROMA_DB_PATH" = "./chroma_db" }

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "a-mem-mcp": {
      "type": "local",
      "command": [
        "uvx",
        "a-mem==0.2.1"
      ],
      "enabled": true,
      "environment": {
        "LLM_BACKEND": "openai",
        "LLM_MODEL": "gpt-4o-mini",
        "OPENAI_API_KEY": "{env:OPENAI_API_KEY}",
        "EMBEDDING_MODEL": "all-MiniLM-L6-v2",
        "CHROMA_DB_PATH": "./chroma_db"
      }
    }
  }
}

{
  "mcpServers": {
    "a-mem-mcp": {
      "command": "uvx",
      "args": [
        "a-mem==0.2.1"
      ],
      "env": {
        "LLM_BACKEND": "openai",
        "LLM_MODEL": "gpt-4o-mini",
        "OPENAI_API_KEY": "${OPENAI_API_KEY}",
        "EMBEDDING_MODEL": "all-MiniLM-L6-v2",
        "CHROMA_DB_PATH": "./chroma_db"
      }
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=a-mem-mcp&config=eyJjb21tYW5kIjoidXZ4IiwiYXJncyI6WyJhLW1lbT09MC4yLjEiXSwiZW52Ijp7IkxMTV9CQUNLRU5EIjoib3BlbmFpIiwiTExNX01PREVMIjoiZ3B0LTRvLW1pbmkiLCJPUEVOQUlfQVBJX0tFWSI6IiR7T1BFTkFJX0FQSV9LRVl9IiwiRU1CRURESU5HX01PREVMIjoiYWxsLU1pbmlMTS1MNi12MiIsIkNIUk9NQV9EQl9QQVRIIjoiLi9jaHJvbWFfZGIifX0%3D"
}

{
  "servers": {
    "a-mem-mcp": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "a-mem==0.2.1"
      ],
      "env": {
        "LLM_BACKEND": "openai",
        "LLM_MODEL": "gpt-4o-mini",
        "OPENAI_API_KEY": "${OPENAI_API_KEY}",
        "EMBEDDING_MODEL": "all-MiniLM-L6-v2",
        "CHROMA_DB_PATH": "./chroma_db"
      }
    }
  }
}

{
  "mcpServers": {
    "a-mem-mcp": {
      "command": "uvx",
      "args": [
        "a-mem==0.2.1"
      ],
      "env": {
        "LLM_BACKEND": "openai",
        "LLM_MODEL": "gpt-4o-mini",
        "OPENAI_API_KEY": "${OPENAI_API_KEY}",
        "EMBEDDING_MODEL": "all-MiniLM-L6-v2",
        "CHROMA_DB_PATH": "./chroma_db"
      }
    }
  }
}

extensions:
  "a-mem-mcp":
    enabled: true
    name: "a-mem-mcp"
    type: stdio
    cmd: "uvx"
    args:
      - "a-mem==0.2.1"
    envs:
      "LLM_BACKEND": "openai"
      "LLM_MODEL": "gpt-4o-mini"
      "OPENAI_API_KEY": "${OPENAI_API_KEY}"
      "EMBEDDING_MODEL": "all-MiniLM-L6-v2"
      "CHROMA_DB_PATH": "./chroma_db"
    timeout: 300

Placeholders to fill from your own secret store: ${OPENAI_API_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_vulns2 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); 8 more of lower severity or without a fix
pass
deps.mcp_sdk_versionmcp 2.2.0, no known advisory
pass
deps.resolvable[email protected] resolved: 148 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 76 / 100

provenance80

livenessn/a

freshness45

hygiene100

+repository +namespace-matches-repo ~liveness-unmeasured -stale-284d

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

Dependencies

[email protected] PyPI147 dependencies, resolved · MCP SDK mcp 2.2.0 · advisories checked 2026-10-19

advisory	severity	package	fixed in
GHSA-36p7-vc44-83pfChromaDB has a code injection vulnerability	critical	`[email protected]`direct	no fix yet
GHSA-f4j7-r4q5-qw2cChromaDB Python project has a pre-authentication code injection vulnerability	critical	`[email protected]`direct	no fix yet
GHSA-2g87-pp6c-29x5aiohttp: Multiple instances of excessive or unbounded memory/CPU use	high	`[email protected]`indirect	fixed in `3.14.4`
GHSA-5wr8-gcqf-gqf3aiohttp server lacks an initial request/header timeout	high	`[email protected]`indirect	fixed in `3.14.4`
GHSA-2wm9-hf6c-p5crChromaDB allows any authenticated users to arbitrarily read, write, update, or delete data in any tenant's collection	high	`[email protected]`direct	no fix yet
GHSA-xph7-9rjv-w5frChromaDB's SimpleRBACAuthorizationProvider doesn't check which tenant, database, or collection a permission applies to	high	`[email protected]`direct	no fix yet
GHSA-8mgp-746c-j5xpNLTK: Model-artifact APIs bypass pathsec and touch files outside allowed roots	high	`[email protected]`direct	no fix yet
GHSA-hj66-6f7g-4r5vOauthlib : Unsafe JSONP callback injection in RevocationEndpoint allows arbitrary JavaScript response generation	moderate	`[email protected]`indirect	fixed in `4.0.0`
GHSA-xpv3-w29h-x7cvOauthlib: Timing Attack Vulnerability in PKCE code_verifier Comparison (CWE-208)	moderate	`[email protected]`indirect	fixed in `4.0.0`
GHSA-494j-54xm-rwp3AIOHTTP: Secure attribute not enforced for shared cookie	low	`[email protected]`indirect	fixed in `3.14.4`

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

package	registry	version	runtime	secrets
`a-mem`	pypi	0.2.1	–	`OPENAI_API_KEY`

Tools (0)

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

Schemas: list_tools.

Similar MCP servers

Official server.json

{
  "name": "io.github.DiaaAj/a-mem-mcp",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "version": "0.2.1",
  "packages": [
    {
      "version": "0.2.1",
      "transport": {
        "type": "stdio"
      },
      "identifier": "a-mem",
      "registryType": "pypi",
      "environmentVariables": [
        {
          "name": "LLM_BACKEND",
          "format": "string",
          "default": "openai",
          "description": "LLM backend to use (openai, ollama, sglang, or openrouter)"
        },
        {
          "name": "LLM_MODEL",
          "format": "string",
          "default": "gpt-4o-mini",
          "description": "LLM model name (e.g., gpt-4o-mini, llama2, etc.)"
        },
        {
          "name": "OPENAI_API_KEY",
          "format": "string",
          "isSecret": true,
          "isRequired": true,
          "description": "OpenAI API key (required if LLM_BACKEND=openai)"
        },
        {
          "name": "EMBEDDING_MODEL",
          "format": "string",
          "default": "all-MiniLM-L6-v2",
          "description": "Sentence transformer model for embeddings"
        },
        {
          "name": "CHROMA_DB_PATH",
          "format": "string",
          "default": "./chroma_db",
          "description": "ChromaDB storage directory path"
        }
      ]
    }
  ],
  "repository": {
    "url": "https://github.com/DiaaAj/a-mem-mcp",
    "source": "github"
  },
  "description": "Self-evolving memory system for AI agents"
}