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347,003 tools. Last updated 2026-07-30 21:43

"BEM" matching MCP tools:

  • Retrieve a memory by its ID, returning all metadata and content. Inspect or verify memory state after recall or update.
    MIT
  • Retrieve memory store statistics including total memories, counts by type, average weight, and relations. Use at session start to verify relevant context exists or before purging memory.
    MIT
  • Delete a memory with two modes: soft-archive (reversible, sets weight=0 for audit) or hard-remove (permanent, erases row entirely).
    MIT
  • Update memory metadata such as tags, weight, and needs_review flag to adjust importance after consolidation or manually. Embedding vector and ID remain unchanged.
    MIT
  • Run parallel candidate agents, score them with a cheap evaluator, and select the top result. Optimizes for best output under budget constraints.
    MIT

Matching MCP Servers

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    license
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    Model Context Protocol (MCP) server for Belgian Electronic Invoicing (Peppol BIS 3.0 / PINT-BE / Mercurius). Provides tools to validate, generate, and transform UBL 2.1 e-invoices, and look up BCE/KBO enterprise data and Peppol participants.
    Last updated
    7
    Apache 2.0

Matching MCP Connectors

  • Tesouro em Foco is a free remote MCP server that brings Brazilian government bond (Tesouro Direto) pricing into AI assistants such as Claude, Cursor, and any MCP-compatible client. The engine implements the Brazilian National Treasury's official pricing methodology — validated against 269,000+ real trades — and covers all retail bond types: fixed-rate (LTN, NTN-F), inflation-linked (NTN-B Principal, NTN-B), and retirement/education bonds (Renda+ and Educa+, NTN-B1).

  • Grade any bet against thousands of play-by-play game simulations: win probability, odds, edge.

  • Store key development artifacts (decisions, bug fixes, patterns) with automatic embedding and deduplication to prevent duplicates.
    MIT
  • Selectively delete memories from LanceDB by type, scope, or age. Preview deletions with dry_run before permanent removal.
    MIT
  • Surface memories flagged for contradictions, conflicts, or staleness. Call periodically to catch data quality issues needing human attention.
    MIT
  • Check a package for known CVEs before installing. Queries OSV.dev to find vulnerabilities in npm, PyPI, Go, and other ecosystems.
    Apache 2.0
  • Search past decisions, patterns, and pitfalls using vector search and multi-factor scoring to surface relevant memories before responding.
    MIT
  • Archive outdated or incorrect memories by setting their weight to zero, excluding them from recall results while preserving them for audit.
    MIT
  • Find memories due for consolidation across the 3-phase pipeline (extract, merge, archive) and return structured candidate lists for the host model to process.
    MIT
  • Create a new empty structural model to begin a beam or truss analysis. Use add_nodes, add_material, add_section, add_members, add_supports, and add_loads to build it further.
    MIT
  • Reads compaction summaries from Claude Code transcripts and stores them as categorized, dedup'd memory chunks, capturing key sections like Primary Request and Errors without manual tagging.
    MIT
  • Run a new security scan and compare it with a baseline to reveal new and resolved vulnerabilities, along with package inventory changes.
    Apache 2.0
  • Create a complete parametric structural model (geometry, sections, supports, loads) by selecting a preset like truss_bridge or portal_frame, with optional parameter overrides.
    MIT
  • Retrieve relevant facts by semantic search, narrowed by category or project, returning top matches with similarity scores.
    MIT
  • Run CIS benchmark checks to assess cloud account security posture against AWS, Snowflake, Azure, and GCP benchmarks. Returns pass/fail results with evidence.
    Apache 2.0
  • Read tenant-scoped audit records with filters for action, resource, and time. Review who changed what in the control plane.
    Apache 2.0