Scribefy MCP vs MCP Pearch — MCP Server Comparison | AllMCPs
Side-by-Side Model Context Protocol Comparison
Scribefy MCP vs MCP Pearch
In-depth architectural comparison of the Scribefy MCP and MCP Pearch MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.
At a Glance & Executive Verdict
Scribefy MCP
Search & Data Extraction · Local stdio
Quality: 55/100 (Good) | Auth: API Key required
MCP Pearch
Search & Data Extraction · Remote HTTP/SSE
Quality: 51/100 (Good) | Auth: API Key required
Verdict Summary: Choose Scribefy MCP if you need specialized Search & Data Extraction tools running via a local process. Choose MCP Pearch if your workspace requires Search & Data Extraction integration with remote web transport. Both servers can be configured concurrently in your client's mcpServers manifest.
Which MCP Server Should You Choose?
Choose Scribefy MCP when:
You need dedicated capabilities in the Search & Data Extraction domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: API Key required (BYOK (Pay Provider Direct)).
You have access to required keys: SCRIBEFY_API_KEY.
Pulls the transcript of a YouTube video and returns it as Markdown with timestamps. Use this whenever the user provides a YouTube URL and wants to summarise, quote, search, or otherwise process the video's spoken content.
Costs credits on first fetch (1 credit ≤15min, 2 credits 15–45min, 4 credits 45min–2h, 8 credits 2h+). Cached extractions are free — videos other Scribefy users have already extracted are cached for 30 days.
Returns the title, channel, duration, language, and the transcript itself split into segments with clickable timestamps.
search_videos
Search YouTube for videos matching a query string. Returns up to `limit` results (default 10, max 25) with title, channel, duration, view count, and URL. Free — no credits charged. Use this when the user asks 'find me videos about X' before chaining into extract_transcript on a specific result.
get_video_metadata
Look up title, channel, duration, view count, upload date, and available caption tracks for a video. Does NOT pull the transcript — use extract_transcript for that. Free — no credits charged. Useful to inspect a video before deciding whether to extract, or to discover which caption languages are available.
get_related_videos
Ready-to-Paste Client Configurations
Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).
Scribefy MCP is categorized under Search & Data Extraction and uses a local stdio subprocess. In contrast, MCP Pearch belongs to Search & Data Extraction using remote streaming HTTP/SSE transport. Select Scribefy MCP when you need capabilities focused on search & data extraction and MCP Pearch when you require tools for search & data extraction.
Return the videos YouTube recommends after a given video — the 'Up next' / 'Related' feed. Returns up to `limit` results (default 10, max 25). Free — no credits charged. Use this to expand research from a single starting video, or to find adjacent content.
MCP Pearch Tools (4)
search_people
Natural-language people search (e.g. *"software engineers in California with 5+ years Python"*). Supports fast/pro/superfast search types, contact reveal & contact filters, real-time profile refresh, insights, and thread-based pagination/follow-ups.
search_company_leads
Find companies and leads/contacts within them (B2B). Example: company *"AI startups in SF, 50–200 employees"* + leads *"CTOs and engineering managers"*, with optional personalized outreach messages.
get_profile
Look up and enrich a single person by LinkedIn slug or email (contact reveal, real-time refresh, GitHub enrichment).
get_user_info
Authenticated user info: email, remaining credits, pricing plan. Free.