mercury-spec-ops
v0.1.2
io.github.n0zer0d4y/mercury-spec-ops
Modular MCP server for dynamic prompt generation and software development analysis tools
“Financial Analysis” 共 1,255 个结果
v0.1.2
io.github.n0zer0d4y/mercury-spec-ops
Modular MCP server for dynamic prompt generation and software development analysis tools
v1.0.2
io.github.ptyagiegnyte/egnyte-remote
Secure integration between AI tools and Egnyte content with search, analysis, and workflow tools.
v1.0.2
io.github.sachin-shetty/egnyte-ai-samples
Secure integration between AI tools and Egnyte content with search, analysis, and workflow tools.
v0.1.2
io.github.copyleftdev/fabric-atelier
AI-powered content processing with 226 Fabric patterns for writing, analysis, and code generation.
v1.15.0
ai.smithery/saidsef-mcp-github-pr-issue-analyser
A Model Context Protocol (MCP) application for automated GitHub PR analysis and issue management.…
v3.4.0
io.github.noahgift/depyler-mcp
MCP server for Depyler: Python-to-Rust transpiler with analysis and verification tools
v3.67.0
io.github.noahgift/ruchy-mcp
MCP server for Ruchy: code analysis, scoring, linting, formatting, and transpilation tools
v2.1.0
ai.smithery/truss44-mcp-crypto-price
Provide real-time cryptocurrency price data and market analysis.
v1.0.3
io.github.cyanheads/protein-mcp-server
MCP Server for 3D protein structural data retrieval & analysis from RCSB PDB, PDBe, and UniProt.
v1.0.0
io.github.ptyagiegnyte/egnyte-mcp-server
Official Egnyte MCP Server for AI integration with document search, analysis, and collaboration.
v0.1.0
io.github.yifancong/rsdoctor
An MCP server that provides build analysis and optimization recommendations for Rspack projects.
v1.11.8
ai.smithery/Nekzus-npm-sentinel-mcp
Provide AI-powered real-time analysis and intelligence on NPM packages, including security, depend…
v0.1.0
io.github.andrasfe/vulnicheck
HTTP MCP Server for comprehensive Python vulnerability scanning and security analysis.
v1.0.0
ai.smithery/jjlabsio-korea-stock-mcp
Search company disclosures and financial statements from the Korean market. Retrieve stock profile…
v1.12.13
io.github.nerfels/mind-map
Experimental code intelligence platform for Claude Code with AST parsing and context analysis
v1.14.0
ai.smithery/plainyogurt21-sec-edgar-mcp
Provide AI assistants with real-time access to official SEC EDGAR filings and financial data. Enab…
vmain
io.github.anthropics/skills/skill-creator
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
vmaster
io.github.netdata/netdata/triage-codacy
Codacy Cloud workflow for this repository -- run Codacy's analyzers locally before `git push` (mirrors what Codacy CI runs), and fetch/cluster Codacy issues for any PR via the v3 API. Use when the user mentions Codacy, "codacy analysis", `codacy-analysis-cli`, "codacy issues on PR", "fix codacy CI", "codacy markdownlint findings", or any Codacy gate failing on a netdata-org PR. Ships scripts analyze-local.sh (docker/binary runner for codacy-analysis-cli) and pr-issues.sh (paginated v3 issue fetch + group-by tool/pattern/severity/file). Token-safe -- CODACY_TOKEN never reaches assistant-visible stdout. Read-only by design; write actions (mark FP, mark fixed) require a GitHub issue or branch-local SOW.
vmain
io.github.K-Dense-AI/scientific-agent-skills/opentrons-integration
Author, review, migrate, simulate, and troubleshoot official Opentrons Python Protocol API v2 protocols for Flex and OT-2 robots. Use for robot-specific liquid handling, deck and labware setup, pipettes, modules, runtime parameters, liquid classes, and Opentrons App analysis. Use pylabrobot instead when one workflow must support multiple robot vendors.
vmain
io.github.K-Dense-AI/scientific-agent-skills/statsmodels
Statistical models library for Python. Use when you need specific model classes (OLS, GLM, mixed models, ARIMA) with detailed diagnostics, residuals, and inference. Best for econometrics, time series, rigorous inference with coefficient tables. For guided statistical test selection with APA reporting use statistical-analysis.
vmain
io.github.K-Dense-AI/scientific-agent-skills/astropy
Core Python library for astronomy and astrophysics workflows that need Astropy APIs, including units/quantities, coordinates, FITS I/O, tables, time systems, WCS, and cosmology. Use when implementing or debugging astronomical data analysis code with Astropy.
vmain
io.github.K-Dense-AI/scientific-agent-skills/paperclip
Search and read full-text biomedical papers, FDA/PMDA/EMA regulatory documents, clinical trial registries, and UniProt/PDB/ChEMBL entries with the Paperclip CLI from GXL. Covers installing and authenticating the `paperclip` binary with a PAPERCLIP_API_KEY, the read-only virtual filesystem under /papers, /fda, /trials, /proteins and /clipboard, source-scoped semantic search, corpus-wide grep, metadata lookup and SQL, map/reduce reading across many papers, figure vision analysis, opt-in paper repositories with claim verification, and line-pinned citations. Use when asked to install paperclip, run paperclip search/grep/map/reduce/sql/repo, find or read biomedical literature, regulatory filings or clinical trials through paperclip, or produce citations with line numbers.
vmain
io.github.K-Dense-AI/scientific-agent-skills/bioservices
Unified Python interface to 40+ bioinformatics services. Use when querying multiple databases (UniProt, KEGG, ChEMBL, Reactome) in a single workflow with consistent API. Best for cross-database analysis, ID mapping across services. For quick single-database lookups use gget; for sequence/file manipulation use biopython.
vmain
io.github.K-Dense-AI/scientific-agent-skills/gget
Fast CLI/Python queries to 20+ bioinformatics databases. Use for quick lookups: gene info, BLAST/BLAT, viral sequence downloads, AlphaFold structures, enrichment analysis, OpenTargets, COSMIC, CELLxGENE, and 8cube mouse specificity/expression data. Best for interactive exploration and simple queries. For batch processing or advanced BLAST use biopython; for multi-database Python workflows use bioservices.