mcp
A collection of Model Context Protocol (MCP) servers, clients and developer tools by IBM.
Install / Use
claude mcp add IBM -- npx -y github:IBM/mcpIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
Development & EngineeringSupported Platforms
Our assessment of mcp
mcp scores 43/100 on our quality scale, 4331st of 4,614 Development & Engineering skills we index.
Its MCP Server is 4.9 KB long, written without headings and no code examples: a solid amount of guidance for an agent.
It has no GitHub stars yet, so there is no community track record; judge it on its content.
Maintenance, license and trust
- We could not determine when the repository was last updated.
- Our last check on 2026-09-25 found the source still online.
- No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
- Its trust signals score 68/100, with 3 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
ReviewOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review judged it risky: The `carbon-mcp` server includes `"alwaysAllow": ["docs_search", "code_search"]`, which disables permission prompts for those tools and weakens the agent's safeguards.
AI review: risky
- The `carbon-mcp` server includes `"alwaysAllow": ["docs_search", "code_search"]`, which disables permission prompts for those tools and weakens the agent's safeguards.
- The file instructs the agent to launch many third-party MCP servers (via `uvx`, `npx`, `docker`, HTTP) and supply credentials/tokens, so misconfiguration or compromise of any server could expose sensitive data.
- Several servers are installed directly from Git repositories (e.g., `uvx --from git+https://github.com/...`), which runs code from a remote source rather than a published package.
AI review by kimi-k2.7-code on 2026-09-23. Automated pattern scan on 2026-09-24. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
mcp compared with similar skills
All 4 of these similar skills score higher than mcp; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| mcp (this skill)by IBM | 43 | 0 | — | MCP Server |
| taste-skillby Leonxlnx | 100 | 111.0k | 1d ago | CLAUDE.md |
| Agent-Reachby Panniantong | 100 | 109.5k | 1d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 79.0k | today | CLAUDE.md |
| ai-job-searchby ai-job-search-dev | 100 | 70.0k | today | CLAUDE.md |
Frequently asked questions
- How do I install mcp?
- Run
claude mcp add IBM -- npx -y github:IBM/mcp. The install tabs above show the steps for each supported agent. - Which AI agents does mcp work with?
- It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
- Is mcp safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review judged it risky: The
carbon-mcpserver includes"alwaysAllow": ["docs_search", "code_search"], which disables permission prompts for those tools and weakens the agent's safeguards. It declares no license and scores 68/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand. - Is mcp still maintained?
- We could not determine when the repository was last updated.
Skill content
View source on GitHub{ "mcpServers": { "core-cs-mcp-server": { "command": "uvx", "args": [ "--from", "git+https://github.com/ibm-ecm/ibm-content-services-mcp-server", "core-cs-mcp-server" ], "env": { "USERNAME": "YOUR_USERNAME", "PASSWORD": "YOUR_PASSWORD", "SERVER_URL": "YOUR_GRAPHQL_SERVER_ENDPOINT", "OBJECT_STORE": "YOUR_OBJECT_STORE_NAME" } }, "carbon-mcp": { "type": "streamable-http", "url": "https://mcp.carbondesignsystem.com/mcp", "disabled": false, "timeout": 600, "headers": { "Authorization": "Bearer <TOKEN>", "X-MCP-Session": "<opaque-session-id>" }, "alwaysAllow": ["docs_search", "code_search"] }, "ibm-decision-intelligence-mcp-server": { "command": "npx", "args": ["-y", "di-mcp-server"], "env": { "APIKEY": "<APIKEY>", "URL": "https://<TENANT_NAME>.decision-prod-us-south.decision.saas.ibm.com/ads/runtime/api/v1" } }, "ibm-mq-mcp-server": {}, "ibm-odm-decision-mcp-server": { "command": "uvx", "args": [ "--from", "git+https://github.com/DecisionsDev/ibm-odm-decision-mcp-server", "start" ] }, "ibm-baw-mcp-server": { "command": "uvx", "args": [ "--from", "git+https://github.com/ibmbpm/ibm-baw-mcp-server", "ibm-baw-mcp-server" ], "env": { "ENDPOINT": "YOUR_WORKFLOW_ENDPOINT", "USERID": "YOUR_WORKFLOW_USERNAME", "PASSWORD": "YOUR_WORKFLOW_PASWORD" } }, "astra-db-mcp-server": { "command": "npx", "args": ["-y", "@datastax/astra-db-mcp"], "env": { "ASTRA_DB_APPLICATION_TOKEN": "YOUR_ASTRA_DB_TOKEN", "ASTRA_DB_API_ENDPOINT": "YOUR_ASTRA_DB_ENDPOINT" } }, "docling-mcp-server": { "command": "uvx", "args": ["--from=docling-mcp", "docling-mcp-server"] }, "ibm_watsonxdata_local_mcp_server": { "type": "stdio", "command": "uvx", "args": ["ibm-watsonxdata-dl-retrieval-mcp-server", "--transport", "stdio"], "env": { "WATSONX_DATA_API_KEY": "YOUR_API_KEY", "WATSONX_DATA_RETRIEVAL_ENDPOINT": "YOUR_RETRIVAL_ENDPOINT", "WATSONX_DATA_TOKEN_GENERATION_ENDPOINT": "YOUR_BEARER_TOKEN_ENDPOINT", "DOCUMENT_LIBRARY_API_ENDPOINT": "YOUR_DOCUMENT_LIBRARY_ENDPOINT", "LH_CONTEXT": "SAAS" } }, "ibm_watsonxdata_remote_mcp_server": { "url": "https://YOUR_INSTANCE_URL/api/v1/mcp/", "headers": { "authorization": "Bearer TOKEN" }, "type": "http" }, "ibmcloud-mcp-server": {}, "tim-mcp-server": { "command": "uvx", "args": [ "--from", "git+https://github.com/terraform-ibm-modules/tim-mcp.git", "tim-mcp" ], "env": { "GITHUB_TOKEN": "<your_github_token>" } }, "ibmcloud-code-engine-mcp-server": {}, "ibmcloud-vpc-mcp-server": {}, "ibmi-mcp-server": { "command": "npx", "args": ["-y", "@ibm/ibmi-mcp-server@latest"], "env": { "TOOLS_YAML_PATH": "/path/to/your/tools.yaml", "DB2i_HOST": "your-ibmi-host.com", "DB2i_USER": "your-username", "DB2i_PASS": "your-password", "DB2i_PORT": "8076" } }, "terraform-mcp-server": { "command": "docker", "args": [ "run", "-i", "--rm", "-e", "TFE_ADDRESS=<HCP Terraform or TFE Address>", "-e", "TFE_TOKEN=<HCP Terraform or TFE Token>", "hashicorp/terraform-mcp-server" ] }, "ibm-instana-mcp-server": {}, "ibm-storage-insights-mcp-server": {}, "consul-mcp-server": { "command": "docker", "args": [ "run", "--rm", "-i", "-e", "CONSUL_HTTP_ADDR=<Consul HTTP Address>", "-e", "CONSUL_HTTP_TOKEN=<Consul HTTP Token>", "hashicorp/consul-mcp-server" ] }, "vault-mcp-server": { "command": "docker", "args": [ "run", "--rm", "-i", "-e", "VAULT_ADDR=<Vault Address>", "-e", "VAULT_TOKEN=<Vault Token>", "-e", "VAULT_NAMESPACE=<Vault Namespace>", "hashicorp/vault-mcp-server" ] }, "vault-radar-mcp-server": { "command": "docker", "args": [ "run", "--rm", "-i", "-e", "HCP_PROJECT_ID=<HCP Project ID>", "-e", "HCP_CLIENT_ID=<HCP Service Principal Client ID>", "-e", "HCP_CLIENT_SECRET=<HCP Service Principal Client Secret>", "hashicorp/vault-radar-mcp-server" ] }, "remote-pa-mcp-server-by-apiKeyBasic": { "type": "streamable-http", "url": "https://<PA_HOST>/api/<TENANT_ID>/v0/agentic-ai/ibm-pa-tools/mcp", "headers": { "Authorization": "Basic <mybase64ecoded(apikey:myapikeyvalue)>" } } } }
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
