--- title: "mcp-context-forge vs anything-llm" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ibm-mcp-context-forge-vs-mintplex-labs-anything-llm" tools: ["ibm-mcp-context-forge", "mintplex-labs-anything-llm"] --- # mcp-context-forge vs anything-llm *GraphCanon updated Sep 20, 2026* ## Verdict Pick mcp-context-forge if mcp-context-forge is an AI gateway and registry for MCP, A2A, REST/gRPC APIs. It offers centralized discovery, guardrails, management, and optimization for agent and tool calling in Python; pick anything-llm if anything-llm is a self-hosted AI agent platform that supports multiple deployment methods, including Docker and cloud services, making it suitable for users who prefer local control over. [mcp-context-forge](https://ibm.github.io/mcp-context-forge/) reports 4.5k GitHub stars, 877 forks, and 929 open issues, last pushed Sep 19, 2026. [anything-llm](https://anythingllm.com) has 66k stars, 7.3k forks, and 315 open issues, last pushed Sep 17, 2026. Figures are from public GitHub metadata via [mcp-context-forge's repository](https://github.com/IBM/mcp-context-forge) and [anything-llm's repository](https://github.com/Mintplex-Labs/anything-llm). | | [mcp-context-forge](/tools/ibm-mcp-context-forge.md) | [anything-llm](/tools/mintplex-labs-anything-llm.md) | | --- | --- | --- | | Tagline | AI Gateway and registry for MCP, A2A, REST/gRPC APIs | Self-hosted AI agent experience | | Stars | 4,502 | 66,167 | | Forks | 877 | 7,349 | | Open issues | 929 | 315 | | Language | Python | JavaScript | | Adopt for | mcp-context-forge is an AI gateway and registry for MCP, A2A, REST/gRPC APIs. It offers centralized discovery, guardrails, management, and optimization for agent and tool calling in Python. | anything-llm is a self-hosted AI agent platform that supports multiple deployment methods, including Docker and cloud services, making it suitable for users who prefer local control over their AI workflows. | | Persona | - | - | | Runtime | - | - | | License | Available under the Apache License 2.0 | MIT License, allowing for free use, modification, and distribution. | | Categories | Developer Tools, Evaluation & Observability, Inference & Serving | AI Agents, Developer Tools, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [mcp-context-forge](/tools/ibm-mcp-context-forge.md) | [anything-llm](/tools/mintplex-labs-anything-llm.md) | | --- | --- | --- | | Open issues (now) | 929 | 315 | | Stars delta | +359 (30d) | +1.5k (30d) | | Open issues delta | -229 (30d) | -4 (30d) | | Full report | [trust report](/tools/ibm-mcp-context-forge/trust.md) | [trust report](/tools/mintplex-labs-anything-llm/trust.md) | ## Decision facts: mcp-context-forge - **Pricing:** freemium - Open-source, free to use for both personal and commercial projects. - **Requirements:** Requires Docker; Supports running with Docker for ease of deployment. - **Adopt for:** mcp-context-forge is an AI gateway and registry for MCP, A2A, REST/gRPC APIs. It offers centralized discovery, guardrails, management, and optimization for agent and tool calling in Python. - **License detail:** Available under the Apache License 2.0 ## Decision facts: anything-llm - **Pricing:** freemium - Free to use under the MIT License, but users may incur costs based on their chosen deployment method and infrastructure. - **Requirements:** Min 4 GB RAM; Requires Docker; Requires a local environment setup or a cloud service account for deployment. - **Adopt for:** anything-llm is a self-hosted AI agent platform that supports multiple deployment methods, including Docker and cloud services, making it suitable for users who prefer local control over their AI workflows. - **License detail:** MIT License, allowing for free use, modification, and distribution. ## Choose when ### Choose mcp-context-forge if… - mcp-context-forge is primarily Python; anything-llm is JavaScript. - License: mcp-context-forge is Apache-2.0, anything-llm is MIT. - Pricing: Open-source, free to use for both personal and commercial projects.. - Requirements: Requires Docker; Supports running with Docker for ease of deployment.. - Tags unique to mcp-context-forge: agents, ai-gateway, authentication-middleware, devops. - Also covers Evaluation & Observability. - mcp-context-forge ships Docker support for self-hosted deployment. - When you need to integrate multiple APIs using a unified endpoint with support for MCP, Agent-to-Agent communication, or REST/gRPC services. ### Choose anything-llm if… - anything-llm is primarily JavaScript; mcp-context-forge is Python. - License: anything-llm is MIT, mcp-context-forge is Apache-2.0. - Pricing: Free to use under the MIT License, but users may incur costs based on their chosen deployment method and infrastructure.. - Requirements: Min 4 GB RAM; Requires Docker; Requires a local environment setup or a cloud service account for deployment.. - Tags unique to anything-llm: agent-computer, agent-harness, agent-orchestration, agentic-ai. - Also covers AI Agents. - When you need a local-first AI agent experience that you can fully control and customize. ## When NOT to use mcp-context-forge - When only REST API support is required, without additional functionality such as MCP or A2A services. - For applications that do not benefit from centralized discovery and management features for AI agents, preferring more decentralized approaches to development. - If your project is built in a language other than Python and integration with third-party plugins is unnecessary. ## When NOT to use anything-llm - If you require a cloud-based solution with minimal setup and maintenance, as anything-llm requires self-hosting and local management. - When you need a platform that does not offer extensive deployment flexibility, as anything-llm provides multiple deployment options which might be overwhelming for users seeking simplicity. ## Common questions ### What is the difference between mcp-context-forge and anything-llm? mcp-context-forge: AI Gateway and registry for MCP, A2A, REST/gRPC APIs. anything-llm: Self-hosted AI agent experience. See the comparison table for live GitHub stats and shared categories. ### When should I choose mcp-context-forge over anything-llm? Choose mcp-context-forge over anything-llm when mcp-context-forge is primarily Python; anything-llm is JavaScript; License: mcp-context-forge is Apache-2.0, anything-llm is MIT; Pricing: Open-source, free to use for both personal and commercial projects.; Requirements: Requires Docker; Supports running with Docker for ease of deployment.; Tags unique to mcp-context-forge: agents, ai-gateway, authentication-middleware, devops; Also covers Evaluation & Observability; mcp-context-forge ships Docker support for self-hosted deployment; When you need to integrate multiple APIs using a unified endpoint with support for MCP, Agent-to-Agent communication, or REST/gRPC services. ### When should I choose anything-llm over mcp-context-forge? Choose anything-llm over mcp-context-forge when anything-llm is primarily JavaScript; mcp-context-forge is Python; License: anything-llm is MIT, mcp-context-forge is Apache-2.0; Pricing: Free to use under the MIT License, but users may incur costs based on their chosen deployment method and infrastructure.; Requirements: Min 4 GB RAM; Requires Docker; Requires a local environment setup or a cloud service account for deployment.; Tags unique to anything-llm: agent-computer, agent-harness, agent-orchestration, agentic-ai; Also covers AI Agents; When you need a local-first AI agent experience that you can fully control and customize. ### When should I avoid mcp-context-forge? When only REST API support is required, without additional functionality such as MCP or A2A services. For applications that do not benefit from centralized discovery and management features for AI agents, preferring more decentralized approaches to development. If your project is built in a language other than Python and integration with third-party plugins is unnecessary. ### When should I avoid anything-llm? If you require a cloud-based solution with minimal setup and maintenance, as anything-llm requires self-hosting and local management. When you need a platform that does not offer extensive deployment flexibility, as anything-llm provides multiple deployment options which might be overwhelming for users seeking simplicity. ### Is mcp-context-forge or anything-llm more popular on GitHub? anything-llm has more GitHub stars (66,167 vs 4,502). Stars measure visibility, not whether either tool fits your constraints. ### Are mcp-context-forge and anything-llm open source? Yes - both are open-source projects on GitHub (mcp-context-forge: Apache-2.0, anything-llm: MIT). ### Where can I find alternatives to mcp-context-forge or anything-llm? GraphCanon lists graph-backed alternatives at [mcp-context-forge alternatives](/tools/ibm-mcp-context-forge/alternatives) and [anything-llm alternatives](/tools/mintplex-labs-anything-llm/alternatives) ([mcp-context-forge markdown twin](/tools/ibm-mcp-context-forge/alternatives.md), [anything-llm markdown twin](/tools/mintplex-labs-anything-llm/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/ibm-mcp-context-forge-vs-mintplex-labs-anything-llm.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, mcp-context-forge or anything-llm? mcp-context-forge: Very active. anything-llm: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for mcp-context-forge and anything-llm? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [mcp-context-forge trust report](/tools/ibm-mcp-context-forge/trust); [anything-llm trust report](/tools/mintplex-labs-anything-llm/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=ibm-mcp-context-forge`](/api/graphcanon/graph?tool=ibm-mcp-context-forge) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_