Enables agents to statically analyze Python source via AST traversal, computing McCabe cyclomatic complexity, cognitive nesting depth, and dependency graphs to pinpoint refactoring hotspots. It returns standardized refactoring plans, decomposition guidance, and code-metric telemetry with zero external dependencies.
MCP servers
Compare source listings, connection options and authentication requirements.
Showing 3,865–3,888 of 165,916 resultsPage 162 of 6,914
Candidate groups, not verified unique MCPs. How grouping works
Enables agents to run statistics and data-science computations over numerical streams using only the Python standard library, including Z-score/IQR anomaly detection, Holt linear forecasting, Welch's t-test hypothesis evaluation, gradient-descent multivariate regression, and power-iteration SVD/PCA dimensionality reduction. Exposes these capabilities over JSON-RPC 2.0 stdio so clients like Claude Desktop, Cursor, and Windsurf can project high-dimensional feature vectors into principal components without any external dependencies.
Enables AI agents to perform deep research across multiple sources, arbitrating consensus while evaluating source authority and detecting contradictions. It integrates via MCP with clients like Claude Desktop and Cursor to deliver deterministic, structured research dossiers.
Enables AI agents and MCP clients to run deterministic deep research consensus arbitration by parsing queries, evaluating source authority and contradictions, and returning structured JSON dossiers and telemetry.
Enables AI agents to analyze and link citations across multiple research sources, building cross-citation graphs and resolving consensus from conflicting findings. It exposes this capability as a deterministic, zero-dependency MCP server that plugs into Claude Desktop, Cursor, and other MCP-compliant clients.
Enables deep research evidence synthesis and citation verification by generating structured research graphs through the Model Context Protocol.
Provides a deterministic, zero-dependency MCP server that enforces autonomous merchant checkout token and velocity limits for Agentcard/Stripe transactions, outputting structured guardrail telemetry for agent workflows.
Enables AI agents to coordinate atomic distributed transactions across a swarm through a prepare/vote phase, unanimous commit-or-abort consensus, quorum validation, and failure recovery. It also layers in vector-clock causal stamping, LWW CRDT reconciliation, and gossip dissemination so multi-node state converges deterministically without external dependencies.
Enables redaction and sanitization of document PII and credentials through MCP, including Luhn credit-card verification, reversible salt hashing, and audit logging.
Enables cross-category e-commerce product bundle pricing optimization to maximize average order value, providing deterministic, zero-dependency execution for autonomous agent workflows.
Enables AI agents and developers to generate deterministic Schema.org Product and FAQPage JSON-LD rich snippets from query payloads. Integrates via MCP with Claude Desktop, Cursor, and other compliant clients.
Enables clients to optimize prompt prefix caching by matching longest common token prefixes with a radix trie, eliminating redundant prefill computation and reducing time-to-first-token.
Enables AI agents to synthesize heterogeneous search results into interactive comparison layouts (Genspark Sparkpages) through the Model Context Protocol, with deterministic, zero-dependency execution.
Provides an MCP-compatible profiler for measuring edge and on-device LLM inference latency, including TTFT, TPOT, tokens-per-second throughput, and P50/P90/P99 jitter distributions. It enables agents and developers to run these telemetry benchmarks from MCP clients such as Claude Desktop, Cursor, and Windsurf.
Enables detection and deterministic masking of personally identifiable information, financial account numbers, JWT tokens, and cryptographic keys so sensitive data can be sanitized before further processing. Runs as a zero-dependency Python MCP server over JSON-RPC 2.0 stdio for use in Claude Desktop, Cursor, and other MCP-compatible clients.
Enables agents and applications to scan text streams for personally identifiable information, financial account numbers, JWT tokens, and cryptographic keys, returning sanitized output with deterministic zero-leakage masking. It runs as a zero-dependency MCP stdio server or importable Python module so regulatory compliance policies (GDPR/HIPAA-style) can be enforced on data before it leaves a workflow.
Enables inspection and governance of enterprise ingested context by classifying security clearance tiers, sanitizing cross-department prompts, and enforcing role-based access boundaries to prevent data leaks. It runs as a zero-dependency MCP server compatible with Claude Desktop, Cursor, and other agent frameworks.
Enables transformation of raw multi-source enterprise findings into comprehensive, structured executive briefings with auto-generated executive summaries, risk registers, decision matrices, and appendix citations. It runs as a native MCP server with zero external dependencies.
Enables secure cross-system identity and token exchange for autonomous agents, including on-behalf-of token exchange, scoped permission delegation, token lifetime refresh, and zero-leakage ephemeral credentials. It integrates with MCP-compatible clients via standard JSON-RPC stdio without external runtime dependencies.
Enables cryptographic chunk hashing, reverse claim-to-source attribution, clearance boundary validation, and provenance audit trails for enterprise knowledge graphs to combat hallucinations.
Enables agents to hash execution logs into tamper-proof Merkle trees, compute cryptographic inclusion proofs, and verify audit integrity through MCP tools.
Enables parsing multi-turn Slack and WeChat Work troubleshooting threads to extract validated Q&A resolution pairs, deduplicate organizational knowledge, and synthesize structured Markdown SOP runbooks via MCP.
Enables agents to synthesize multi-tab enterprise spreadsheet financial models, detect circular references, compile formula dependency DAGs with functions like SUMIFS/XLOOKUP/CAGR/NPV, and evaluate deterministic preview cell matrices.
Enables AI agents to record episodic events, decay stale transient interactions using an Ebbinghaus forgetting curve, and consolidate frequent episodes into enduring semantic user persona traits for long-term personalization.
What this catalog covers
- Source listings
- 167,896
- Candidate groups
- 168,272
- Setup-eligible endpoints
- 30,743
Sources observed 2026-10-24–2026-11-11. Listings can overlap across sources. Groups are identity candidates; setup eligibility is not a successful connection test.
SourcesMCP data from Glama connectorsMCP data from Glama source codeOfficial MCP RegistryClaude connector directoryAPI Tracker · publisher documentationSlack MCP directory
Default browsing excludes 2,356 specialized utility groups across the catalog. They remain available through keyword search and direct links. This editorial filter does not change the indexed totals or establish publisher quality.
Categories currently cover records matched to our reviewed catalog; other listings remain Uncategorized. Source-only projects have no generated connection option. Browse reviewed official MCPs →
- Glama connectors
API result set; pagination may cap at approximately 1,000 connectors. Not exhaustive.
- Glama source code
Complete chronological source-code catalog response; includes source-reported author classifications, not publisher attestations or ready-to-use endpoints.
- Official MCP Registry
Complete paginated registry response; registry membership is not publisher verification.
- Claude connector directory
Complete public Claude directory MCP components. Source tiers, tools, icons and sign-in hints are declarations, not publisher or runtime verification.
- API Tracker · publisher documentation
Reviewed publisher and third-party remote, local and setup-only MCP listings. Publisher status is retained per exact connection. Discoverability does not establish connection readiness.
- Slack MCP directory
Reviewed additions discovered through the public Slack Marketplace MCP category. Complete discovery inventory is retained separately; membership does not prove external-client compatibility.
Listings are grouped by exact public endpoints, exact package sets, or explicit reviewed identity bindings. Shared names or repositories alone do not merge implementations. Official includes publisher evidence and accepted source author classifications. It does not mean independently verified, runtime-tested or security-certified.