Skip to main content
Glama
Sign In
omega-stenographer-mcp

omega-stenographer-mcp

by VrtxOmega
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

Related Servers

Alternatives to omega-stenographer-mcp

  • Mcp-Omega-Brain

    VrtxOmega
    A
    license
    A
    quality
    C
    maintenance
    AI agent provenance, trust, and auditability layer. VERITAS multi-gate scoring, Cortex approval gates, S.E.A.L. hash-chain audit ledger, and semantic RAG with cryptographic provenance tracking for every decision an agent makes.
    27
    5
    MIT

  • sswp-mcp

    VrtxOmega
    A
    license
    A
    quality
    C
    maintenance
    SSWP MCP — Deterministic software attestation for AI-augmented development. Witness any repo through a 5-gate pipeline, adversarially probe dependencies, and produce self-verifying .sswp.json attestations. Fleet registry across 131 nodes with tamper-proof audit ledger and FTS5 search. Agent-native — one tool call from Hermes, Claude, or Cline.
    8
    3
    MIT

Related Servers

  • KusiScribe Core

    kusiai070
    A
    license
    Not graded
    quality
    C
    maintenance
    Enables autonomous multi-agent workflows to capture, preserve, and retrieve immutable transcripts and atomic memory cards through a local MCP server, providing tools for forensic search, topic mapping, and structured fact access without losing context fidelity.
    1
    MIT

  • Knowledge Base Server

    rdimitriou650
    A
    license
    Not graded
    quality
    A
    maintenance
    Enables AI agents to share a persistent, self-improving memory by ingesting sources such as Obsidian vaults, code, transcripts, and bookmarks, then classifying, promoting, synthesizing, and retrieving that knowledge through token-optimized search across MCP and REST interfaces. Agents can capture sessions and fixes so context compounds across sessions and across Claude, Codex, Gemini, and any other MCP client.
    5 npm
    MIT

  • knowledge-base-server

    Meyer6700
    A
    license
    Not graded
    quality
    A
    maintenance
    Serves AI agents a shared persistent memory that ingests Obsidian vaults, code, transcripts, bookmarks, and session or bug-fix captures, then classifies, promotes, and synthesizes them into tiered, retrievable knowledge. Exposes token-optimized context briefings and hybrid keyword/semantic search over MCP so multiple agents can read and write the same brain and improve across sessions.
    5 npm
    MIT

  • knowledge-base-server

    Carmen60488
    A
    license
    Not graded
    quality
    A
    maintenance
    Enables AI agents to capture, classify, promote, synthesize, and retrieve persistent knowledge from sources like Obsidian vaults, code, transcripts, and session logs, serving it through MCP tools and a REST API. Provides tiered, token-optimized memory so multiple agents share one compounding brain instead of starting from zero each session.
    5 npm
    MIT

  • knowledge-base-server

    dorothyinoue80287
    A
    license
    Not graded
    quality
    A
    maintenance
    Enables AI agents to share persistent memory by ingesting knowledge from sources like Obsidian, code, documents, web clips, and terminal sessions, then providing token-optimized search, context, classification, synthesis, and capture tools through MCP and REST APIs.
    5 npm
    MIT
Deploy Server
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

B3.3/5.0

Scored across 6 tools

Disambiguation5/5

Each tool has a distinct, non-overlapping purpose: querying history, checking status, ingesting exchanges, retrieving briefs, managing compaction, and marking milestones. No ambiguity in tool selection.

Naming Consistency5/5

All tools share the consistent 'stenographer_' prefix and follow a clear verb_noun pattern (e.g., query_history, capture_status, ingest_exchange), making naming predictable and uniform.

Tool Count5/5

With 6 tools, the set is well-scoped for a stenographer/note-taking domain, covering essential operations without being overly numerous or sparse.

Completeness5/5

The tool set covers the full lifecycle: ingestion, querying, status monitoring, brief retrieval, compaction, and milestone marking. No obvious missing operations for the stated purpose.

Resources