unfragile-mcp-server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| UNFRAGILE_API_KEY | No | API key for higher rate limits | |
| UNFRAGILE_API_URL | No | API base URL | https://unfragile.ai |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| searchA | Search the Unfragile match graph for AI tools, frameworks, APIs, MCP servers, agents, and more. Returns ranked results with capability matches and graph signals. Every query feeds the graph. |
| find_mcpsA | Find MCP servers by capability need. Use this when you need to discover MCP servers for specific integrations (e.g., databases, APIs, cloud services). Returns MCP servers ranked by capability match. |
| get_artifactA | Get full details and capabilities for a specific AI artifact by name or slug. Uses search-based lookup (best-effort name matching — may return a different artifact for ambiguous names like 'express'). Use this to understand what an artifact can do before adding it to your stack. |
| resolve_capabilityA | Resolve a capability:// URI or natural-language capability into ranked AI artifacts. This is Unfragile's capability DNS primitive. Use when an agent knows what capability it needs and must choose the safest current artifact at runtime. |
| trust_passportA | Get the machine-readable trust passport for an AI artifact. Use this before an agent selects a tool, API, MCP server, model, repo, or framework for a task. Returns capability URIs, permissions, data access risk, known failure modes, observed outcomes, and trust score. |
| compareA | Compare two AI artifacts side-by-side. Shows capabilities, pricing, rank, and graph signals for each. Uses search-based lookup (best-effort name matching). Use this when deciding between alternatives. |
| find_stackB | Assemble a complete AI harness stack for a use case. Given a description of what you're building, returns recommended tools across harness layers: orchestration, tools/MCPs, memory, guardrails, context assembly, and evaluation. This is the key differentiator — Unfragile understands that modern AI systems are composed of 5-15 tools working together. |
| feedbackA | Report whether a recommended tool worked or not. This closes the learning loop — the Unfragile graph uses this feedback to improve future recommendations. Call this after trying a tool from search results. |
| subscribeA | Set up a persistent watch for new AI tools matching a query. Get notified daily when something new appears in the Unfragile graph. Requires at least one notification channel (email or webhook). |
| unsubscribeA | Cancel a persistent watch (monitor). Use the monitor ID returned from subscribe. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
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