bigapi
Related Servers
Alternatives to bigapi
AlicenseBqualityCmaintenanceThis repository is an example of how to create a MCP server for Qdrant, a vector search engine.21,540Apache 2.0- FlicenseAqualityAmaintenanceNode.js server implementing Model Context Protocol (MCP) for filesystem operations.1014562,943 npm90,939-

Chroma MCP Serverofficial
AlicenseAqualityDmaintenanceA server that provides data retrieval capabilities powered by Chroma embedding database, enabling AI models to create collections over generated data and user inputs, and retrieve that data using vector search, full text search, and metadata filtering.1331,255 PyPI599Apache 2.0
Related Servers
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to capture any public URL as PNG, JPEG, or PDF via REST API or MCP tools, including screenshot capture, page description, and PDF rendering.16 npmMIT
- AlicenseNot gradedqualityBmaintenanceEnables AI clients to render any URL or raw HTML into PDF files or PNG/JPEG/WebP screenshots over MCP stdio or Streamable HTTP. Output stays in memory with SSRF protection, bounded concurrency, and configurable size and timeout limits.11 npm1MIT

@rendershot/mcp-serverofficial
AlicenseAqualityDmaintenanceEnables AI agents to capture screenshots and generate PDFs from URLs or HTML via the Rendershot API.418 npm3MIT- FlicenseNot gradedqualityBmaintenanceEnables AI agents to render website screenshots and PDFs, check page changes, and retrieve usage stats via REST calls.-
- AlicenseNot gradedqualityBmaintenanceEnables agents to scrape, crawl, map, search, and extract web pages as clean markdown or structured JSON directly through MCP tools.AGPL 3.0
- FlicenseAqualityCmaintenanceEnables capturing screenshots of URLs, extracting page content as Markdown, and managing ScreenshotAPI account usage from MCP-compatible AI agents.5-
TDQS
Scored across 5 tools
Each tool has a distinct lifecycle role: discovery (find_tool), execution (run_operation), session convenience (enable_tools), key creation (get_access), and balance checking (get_balance). The descriptions explicitly cross-reference each other and state what they do not do, so there is little risk of an agent picking the wrong one.
All five names follow a consistent snake_case verb_noun pattern (find_tool, run_operation, enable_tools, get_access, get_balance). The verbs are specific and match the action, and no style mixing or vague generic names appear.
Five tools is well-scoped for a server that intentionally stays lean and dynamically exposes operations through find_tool/run_operation. Each tool covers a necessary concern: discovery, execution, optional tool enabling, access, and balance.
The core workflow is fully covered: obtain a key, find an operation, run it, and check credit/usage. The dynamic design means new operations don't require new server tools, so there are no obvious dead ends or missing lifecycle steps.