hoklims/stacksfinder-mcp
by Various
MCP server for StacksFinder - deterministic tech stack recommendations for LLM clients
MCP
hoklims/stacksfinder-mcp
Added 1 June 2026
Overview
hoklims/stacksfinder-mcp is an MCP server that provides deterministic tech stack recommendations for LLM clients. It implements the Model Context Protocol to allow AI assistants to query stack suggestions programmatically.
Best for
Best for
Developers building LLM-based tooling that need consistent, deterministic tech stack suggestions
Use cases
- Integrating stack recommendations into an LLM-powered coding assistant
- Automating tech stack selection during project scaffolding
- Evaluating consistent stack options across multiple LLM sessions
How to use
Install
bun install Tools exposed
list_technologiesanalyze_techcompare_techsrecommend_stackestimate_projectget_estimate_quotaget_blueprintcreate_blueprintsetup_api_keylist_api_keysrevoke_api_keycreate_auditget_auditlist_auditscompare_auditsget_audit_quotaget_migration_recommendationgenerate_mcp_kitanalyze_repo_mcpsprepare_mcp_installation
Tested with
Claude Desktop, Claude Code, Cursor, Windsurf, VS Code, ChatGPT
Notes
hoklims/stacksfinder-mcp is an MCP server that provides deterministic tech stack recommendations for LLM clients. It implements the Model Context Protocol to allow AI assistants to query stack suggestions programmatically.
8 stars on GitHub. Last updated 2026-01-29. Licensed MIT.
Use cases
- Integrating stack recommendations into an LLM-powered coding assistant
- Automating tech stack selection during project scaffolding
- Evaluating consistent stack options across multiple LLM sessions
Pros
- Deterministic output ensures repeatable recommendations
- Lightweight TypeScript implementation
- Integrates directly with LLM clients via MCP
Cons
- Low GitHub stars indicate limited community adoption
- Dependent on external StackFinder service availability
- Only supports MCP protocol, limiting integration options
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Deterministic output ensures repeatable recommendations
- Lightweight TypeScript implementation
- Integrates directly with LLM clients via MCP
Cons
- Low GitHub stars indicate limited community adoption
- Dependent on external StackFinder service availability
- Only supports MCP protocol, limiting integration options
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
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