Features
The Tool Registry That Works Even When Tools Are Missing
Not just a directory — a self-healing discovery layer with 3-tier fallback, 97% accuracy, and multi-protocol output.
Self-Healing Registry
Never Returns Empty — Auto-Crawls GitHub When Tools Are Missing
When no indexed tool scores above the quality threshold, ServAgent automatically searches GitHub for new repositories matching your task, indexes the best result, and returns it — all in the same request. The registry grows with every query.
- Tier 1: TF-IDF match across 4,658+ indexed tools
- Tier 2: Live GitHub gap-fill crawler (triggers when best score < 25)
- Tier 3: Generates a working tool from free public APIs as a last resort
- Results are permanently cached — repeated queries get instant responses
Recommendation Accuracy
97% Hit Rate on 100-Task Benchmark — Measured, Not Claimed
ServAgent uses token-level bidirectional matching with intent expansion and brand-entity bonuses. The scoring model creates clear separation between relevant (65–90 pts) and irrelevant (<30 pts) tools. Every accuracy number on the homepage comes from a reproducible keyword benchmark test.
- INTENT_EXPAND: 45+ semantic synonym mappings (monitoring→apm/observability, twitter→tweet/social, …)
- Brand-entity bonus: specific tokens (s3, firestore, ec2) get +15 pts when they appear in the tool name
- SHORT_ALLOW: 2-char technical identifiers (s3, ip, k8, db) are never filtered
- 88/100 tasks returned the correct tool as #1 result; 9/100 within top 3; 0 misses
Multi-Protocol
One Registry, Every Agent Framework
ServAgent converts tool definitions on the fly. Fetch a tool in OpenAI function-calling format, Anthropic tool-use schema, Google Agent protocol, or MCP JSON-RPC — whichever your agent needs, in one API call.
- POST /deploy/batch — convert up to 50 tools in one request
- GET /deploy/:id/:protocol — single tool, any protocol
- POST /api/mcp — full MCP JSON-RPC 2.0 gateway (tools/list, tools/call)
- GET /api/v1/openapi.json — OpenAPI 3.1 spec for ChatGPT GPT Actions
Smart Pipeline
Pipeline Orchestrator — Caching, Compression, Feedback Loop
The pipeline layer sits between your agent and the tool registry, adding multi-level caching, response compression, and a feedback signal so the system learns which tools actually work for each task.
- POST /pipeline/resolve — single endpoint for query → ranked tools → protocol-converted schemas
- POST /pipeline/feedback — record success/failure to improve future rankings
- GET /pipeline/stats — live cache hit rate, p50/p95 latency, token savings
- Shadow SDK (POST /telemetry/ingest) — zero-overhead event collection from your agent
ServAgent vs Smithery
Based on publicly available information, April 2026
| Feature | ServAgent | Smithery |
|---|---|---|
| Tool count | 4,658+ (auto-growing) | 3,000+ (community submit) |
| Recommendation accuracy | 97% (100-task benchmark) | Not published |
| Cold-start / missing tools | GitHub gap-fill + generate | Wait for community PR |
| Multi-protocol output | MCP / OpenAI / Anthropic / Google | MCP primarily |
| Provider analytics | API + Dashboard (Pro) | None |
| Self-hosted option | Open source | Closed |