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By postergully
Enterprise knowledge layer — company brain + structured data graph for finance ops
npx claudepluginhub postergully/11mirror-plugin --plugin 11mirrorGraph reasoning decision protocol for 11Mirror agents. Teaches when to use knowledge graph queries (via Cognee/TrustGraph) vs brain search (via fbrain). Route relationship questions to the graph engine; route content retrieval to brain search first.
Verify a research claim or academic citation by tracing it through publication → methodology → raw data → independent replication. Routes through perplexity-research for the actual web lookup, then formats results as a citation-checked brain page. Use when a book/article/conversation cites a study and you want to confirm the claim is real, replicated, and accurately characterized.
Universal archivist for personal file archives (Dropbox/B2/Gmail-takeout/local-mount/hard-drive-dump). Filters for high-value content (the user's own writing, ideas, relationships) and surfaces it interactively. REFUSES TO RUN without an explicit gbrain.yml `archive-crawler.scan_paths:` allow-list.
Transform raw article text dumps in the brain into structured pages with executive summary, verbatim quotes, key insights, why-it-matters, and cross-references. Replaces walls-of-text with quotable, actionable brain pages.
Take any book (EPUB/PDF), produce a personalized chapter-by-chapter analysis with two-column tables. Left column preserves the chapter content; right column maps every idea to the reader's actual life using brain context. Output is a single brain page at media/books/<slug>-personalized.md plus an optional PDF via brain-pdf.
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Intelligent draw.io diagramming plugin with AI-powered diagram generation, multi-platform embedding (GitHub, Confluence, Azure DevOps, Notion, Teams, Harness), conditional formatting, live data binding, and MCP server integration for programmatic diagram creation and management.
MCP server that saves 98% of your context window with session continuity. Sandboxed code execution in 11 languages, FTS5 knowledge base with BM25 ranking, and automatic state restore across compactions.
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
Manus-style persistent markdown files for planning, progress tracking, and knowledge storage. Works with Claude Code, Kiro, Clawd CLI, Gemini CLI, Cursor, Continue, Hermes, and 17+ AI coding assistants. Now with Arabic, German, Spanish, and Chinese (Simplified & Traditional) support.
A growing collection of Claude-compatible academic workflow bundles for producing work at Nature-journal standard. Covers scientific figures (nature-figure), manuscript prose polishing (nature-polishing), manuscript drafting and methods writing (nature-writing), reviewer-style pre-submission assessment (nature-reviewer), citation retrieval and export (nature-citation), data availability statements and FAIR metadata (nature-data), paper-to-PPTX presentation conversion (nature-paper2ppt), literature search via MCP (nature-academic-search), paper reading and annotation (nature-reader), and peer-review response drafting (nature-response). Future releases planned: statistical reporting, cover letters, and review articles. Rules are derived from primary sources, including published Nature papers, journal author guidelines, and structured writing curricula.
Complete creative writing suite with 10 specialized agents covering the full writing process: research gathering, character development, story architecture, world-building, dialogue coaching, editing/review, outlining, content strategy, believability auditing, and prose style/voice analysis. Includes genre-specific guides, templates, and quality checklists.
Finny NetSuite agent — cowork-side discipline for the finny_* MCP tools (intent-decomposer, judging-output, day_dream synthesis)
Enterprise knowledge layer for finance operations. Connects to company knowledge brain (people, playbooks, SOPs) and structured data graph (accounting, procurement, vendor payments, financial reports).
Built for Claude Cowork, also compatible with Claude Code.
Install from claude.com/plugins or:
claude plugins add 11mirror
claude plugin install 11mirror
If you prefer to wire the gateway up by hand, copy examples/claude-code.mcp.json into your project root as .mcp.json and set ELEVEN_MIRROR_API_KEY in your environment.
Loaded as a native OpenClaw bundle via openclaw.plugin.json. Configure the plugin with:
| Key | Description |
|---|---|
gateway_url | HTTPS URL of the 11Mirror gateway /mcp endpoint, for example https://connect.neuu.in/mcp |
gateway_api_key | Bearer token for the gateway |
OpenClaw's bundle loader only supports stdio MCP transports, so the plugin ships bin/mcp-stdio-bridge.js — a zero-dependency Node script that reads MCP JSON-RPC from stdin and relays it to the remote HTTP gateway with the bearer token. The bridge self-configures: it reads gateway_url / gateway_api_key directly from ~/.openclaw/openclaw.json under plugins.entries.11mirror.config, so no env-var interpolation is needed. Requires Node 18+ on the host.
This plugin ships 41 skills (as of v0.26.6-fbrain.1) covering:
See skills/RESOLVER.md for the full skill dispatch table.
The gateway exposes 47 tools through a single /mcp endpoint:
query, search, get_page, list_pages, put_page, traverse_graph, get_backlinks, get_chunks. Write via put_page, add_link, add_tag, add_timeline_entry.graph_query (synthesized answer via GRAPH_COMPLETION), entity_search (raw chunk hits via CHUNKS), knowledge_ingest (text → add + cognify pipeline).Call fbrain_route first in every session — it returns the live routing protocol. Tool schemas are always discoverable via MCP tools/list.
Upstream cognee-mcp exposes a deliberately abstracted "Minimal Memory API" (remember, recall, forget) over @mcp.tool(). 11Mirror proxies cognee's native HTTP surface (/api/v1/search, /api/v1/add, /api/v1/cognify) and names the tools after their domain role: graph_query, entity_search, knowledge_ingest. If you are reading cognee docs that reference remember/recall/forget, the mapping is:
| cognee-mcp (upstream) | 11Mirror gateway | Native HTTP |
|---|---|---|
remember | knowledge_ingest | POST /api/v1/add then POST /api/v1/cognify |
recall (graph) | graph_query | POST /api/v1/search with search_type: GRAPH_COMPLETION |
recall (chunks) | entity_search | POST /api/v1/search with search_type: CHUNKS |
forget | not proxied | cognee REST delete endpoints |
The 11Mirror librarian stores content under {tenant}__{dataset}, so the cognee dataset name an agent queries is not what a human typed when running librarian-ingest. Current production datasets on the primary deployment:
netsuite-schema-data (schema DB ingested direct, no tenant prefix)default__netsuite-rules (4 YAML rule files ingested via the file subcommand)Pass these names as dataset_name on graph_query / entity_search. Calling these tools with no dataset returns an error.
Add additional data source MCP servers to .mcp.json:
| Category | Purpose |
|---|---|
erp-accounting | ERP system for GL, subledger, JE data |
data-warehouse | Financial queries and historical data |
spreadsheets | Workpaper generation |