Syftly

Ranks the best AI tool or API per task: transcription, TTS, web search, scraping and OCR.

Should I use this

Quality & Safety

A
Description quality
100%
Schema completeness
100%
Naming quality
100%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~1,040Tokens (tool definitions)
~11.5 KBTypical response size
Moderate attention impact (0.81% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "syftly": {
      "url": "https://syftly.vercel.app/api/mcp"
    }
  }
}

Remote endpoints

https://syftly.vercel.app/api/mcpstreamable-http

What it can do

Tool inventory

Tools (1)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟢find_best_tool(query, category)

Given a natural-language question about which AI tool or API is best for a task (currently transcription, text-to-speech, web search, scraping & browser and ocr & document extraction), return Syftly's ranked recommendation: a citeable summary, a provider table with prices and trade-offs, dated sources, and a confidence label. Ask in plain English about price, accuracy, language or capability trade-offs — e.g. 'best OCR API for scanned PDFs' or 'best web scraping API for JavaScript-heavy sites'. Optionally pass "category" to disambiguate; otherwise it is detected from the question.

Input Schema

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "The question in natural language, e.g. 'best transcription API for Dutch'."
    },
    "category": {
      "type": "string",
      "description": "Optional category id to disambiguate the question; omit to let Syftly detect it.",
      "enum": [
        "transcription",
        "tts",
        "web-search",
        "scraping",
        "ocr"
      ]
    }
  },
  "required": [
    "query"
  ],
  "additionalProperties": false
}

Output Schema

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "The human question (page H1)."
    },
    "slug": {
      "type": "string"
    },
    "category": {
      "type": "string",
      "description": "e.g. 'transcription'; '' on a no-match."
    },
    "routing": {
      "type": "string",
      "enum": [
        "matched",
        "none",
        "ambiguous"
      ],
      "description": "Honest routing outcome: 'matched' = answered from a real category; 'none' = no category matched (out-of-scope/gibberish) — an honest no-match, not a fabricated answer; 'ambiguous' = fit 2+ categories. 'none'/'ambiguous' carry `categories` and no real recommendation/providers."
    },
    "summary": {
      "type": "string",
      "description": "Citeable summary, 40-80 words, reused verbatim across all views. On a no-match, the plain-language message."
    },
    "confidence": {
      "type": "string",
      "enum": [
        "light estimate",
        "hard tested"
      ],
      "description": "Confidence/depth label."
    },
    "updated": {
      "type": "string",
      "description": "ISO date."
    },
    "recommendation": {
      "type": "object",
      "required": [
        "default",
        "axes"
      ],
      "properties": {
        "default": {
          "type": "string",
          "description": "Name of the recommended offering ('' on a no-match)."
        },
        "axes": {
          "type": "object",
          "description": "Decision-axis -> recommended offering. Carries EVERY matched axis: filters + all ordering axes, each naming its own computed winner.",
          "additionalProperties": {
            "type": "string"
          }
        },
        "primary": {
          "type": "string",
          "description": "The axis key whose winner became `default` when 2+ ordering axes conflict with no composite tiebreak — the earliest-in-query axis. Absent for single-axis/composite-resolved answers."
        }
      }
    },
    "providers": {
      "type": "array",
      "items": {
        "type": "object",
        "required": [
          "name",
          "provider",
          "price",
          "metrics",
          "strengths",
          "weaknesses",
          "source",
          "source_date"
        ],
        "properties": {
          "name": {
            "type": "string",
            "description": "The callable offering, e.g. 'Deepgram Nova-3'."
          },
          "provider": {
            "type": "string",
            "description": "The company behind it, e.g. 'Deepgram'."
          },
          "model_family": {
            "type": "string",
            "description": "Filter attribute, not a row of its own."
          },
          "price": {
            "type": "object",
            "required": [
              "value",
              "unit"
            ],
            "properties": {
              "value": {
                "type": [
                  "number",
                  "null"
                ]
              },
              "unit": {
                "type": "string",
                "description": "e.g. '$/min', '$/1000min'."
              },
              "comparable": {
                "type": "boolean",
                "description": "false = token-/credit-priced, not directly comparable (excluded from the price axis)."
              }
            }
          },
          "metrics": {
            "type": "object",
            "description": "Open category-specific decision-axis fields. Keys are stable data identifiers (e.g. 'wer', 'latency_ms'); values are number, boolean, string or null (null = an honest gap). Number metrics back min/max axes; boolean metrics back filter axes.",
            "additionalProperties": {
              "type": [
                "number",
                "boolean",
                "string",
                "null"
              ]
            }
          },
          "strengths": {
            "type": "string"
          },
          "weaknesses": {
            "type": "string"
          },
          "source": {
            "type": "string",
            "description": "Where this row's facts come from."
          },
          "source_date": {
            "type": "string",
            "description": "ISO date of the source."
          }
        }
      }
    },
    "sources": {
      "type": "array",
      "items": {
        "type": "object",
        "required": [
          "title",
          "url",
          "date"
        ],
        "properties": {
          "title": {
            "type": "string"
          },
          "url": {
            "type": "string",
            "format": "uri"
          },
          "date": {
            "type": "string",
            "description": "ISO date."
          }
        }
      }
    },
    "categories": {
      "type": "array",
      "description": "Present only when routing !== 'matched': the supported categories so the caller can re-ask in scope.",
      "items": {
        "type": "object",
        "required": [
          "category",
          "label"
        ],
        "properties": {
          "category": {
            "type": "string",
            "description": "Supported category id, e.g. 'web-search'."
          },
          "label": {
            "type": "string",
            "description": "Human label, e.g. 'Web search'."
          }
        }
      }
    }
  },
  "required": [
    "query",
    "slug",
    "category",
    "routing",
    "summary",
    "confidence",
    "updated",
    "recommendation",
    "providers",
    "sources"
  ],
  "additionalProperties": false
}

Community

Rate this Server

Evidence

Recent observations

verifiedversion not recorded1 tools
verifiedversion not recorded1 tools
verifiedversion not recorded1 tools