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5846-bug-when-scrolling-up-scrolling-jumps
refactor-remove-workspace-pfp
5969-bug-stopgenerationbutton-disappears-on-the-first-prompt-that-initiates-an-agent-session
2235-bug-how-to-upload-a-folder-with-subfolders-with-files-to-anythingllm
5990-workspace-update-fails-with-unknown-argument-router_id-v1130v1150-intel-mac
opencomputer-examples
pg
feat/image-generation-translations
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5924-bug-meeting-summary-fails-with-sincludes-is-not-a-function-when-default-llm-is-anthropic-claude
render
feat/uniform-modal-component
5883-bug-unescaped-content-in-json-strings-being-passed-to-document-generator-tools
5901-bug-api-update-embeddings-fails-prisma-argument-filename-is-missing-on-workspace_documentscreate-desktop-windows-v1141
hybrid-search
1981-translations
5752-bug-prompts-to-local-jan-endpoint-unresponsive
feat-disable-native-tool-calling-env-var
5676-bug-non-ollama-agent-providers-do-not-parse-and-present-reasoning-content
feat/markdown-web-scraping
5717-bug-apiv1documentupload-silently-drops-metadata-field-in-desktop-1130-arg-count-mismatch-nested-payload-key
fix/aibitat-context-overflow
5711-bug-erratic-deepseek-v4-flash-the-agent-model-failed-to-respond-400-the-reasoning_content
5631-feat-custom-api-request-timeouts-for-ai-providers
feat-reasoning-control
feat-agent-clarifying-questions-translations
5583-bug-lm-studio-provider-does-not-present-reasoning-output
5313-normalize-translations
feat/memory-translations
5305-lemonade-embedding-engine-swallows-errors-falsely-reports-documents-as-embedded
5060-bug-agent-interactions-agent-are-not-persisted-to-thread-history-via-api
pptx-subagent
feat-render-images-from-mcp-tool-results
stt-provider-expansion-openai-api-compatible
feat-file-search-agent-tool
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5189-normalize-translations
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5140-auto-migration
5112-bug-openrouter-failed-message-bug
3506-feat-parameters-for-openrouter-models
4992-feat-preserve-scroll-position
4973-bug-markdown-numbered-list-display-in-reasoning-pane
desktop
4938-bug-pending-chat-rerendering-ui-bug
quickstart-env
node-llama-cpp-in-container-cuda
node-llama-cpp-in-container
ollama-in-container
4817-feat-set-cooldown-per-mcp-server
4845-keyboard-shortcuts-to-navigate-in-chat
4844-feat-reorder-threads-by-latest-interaction
standardize-username-constraints-normalize-translations
4792-feat-refactor-workspacepfp-image
1382-embed-ip-improvements
1382-bug-embed-api-improvements
refactor-eslint-frontend
4687-feat-refactor-vector-db-providers
4615-feat-disable-apidocs-with-environment-variable
4559-feat-agent-web-search-enable-ordering-of-results
4599-bug-ollama-race-condition-bug
4572-bug-lmstudio-provided-llm-stopped-working-with-anything-llm-after-upgrading-to-190
4508-agent-youtube-transcript-analysis
4497-feat-workspace-names
frontend-eslint
ollama-lmstudio-auto-context-window
4431-validate-vector-database-connectioN
2019-slash-command-keyboard-selection
microsoft-foundry-provider
4431-validate-vector-database-connection
4325-sys-prompt-var-improvements
3209-feat-apiv1workspacestream-chat-sources-citations
4210-bug-voice-to-text-overwrite
4136-feat-jan-as-a-backend-server-option
4172-feat-openai-o3-support
1.8.3-rerelease
web-push-notifications-service
tasks
3955-feat-jinaai-embedder-provider-support
3921-feat-agent-skills-uiux-improvements
3901-bug-validfunccall-checks-optional-arguments
keyboard-dev
1787-custom-roles-and-permissions
add-jira-slack-data-connector
office-extension-wip
lightmode-dropdown-color-update
3586-bug-agent-flow-function-description-provided-by-user-is-not-seen-in-the-llm-query
3463-bug-agent-continues-to-run-if-request-failed-even-after-exit
3439-feat-call-variables-within-the-flow-api-block-url-field
3282-manager-view-models-workspace
3280-token-counting-server-side-truncation-improvements
3147-bug-embedded-chat-widget---not-considering-query-mode-option-always-working-in-chat-mode
2995-feat-disable-temperature-setting-for-deepseek-r1-deepseek-reasoner-model
2827-feat-perplexity-citations
2866-feat-finally-a-gemini-models-endpoint
2647-feat-hpp-header-for-a-c++-code-file-mime-addition
lancedb-revert
1656-feat-implement-tooltip-ui-designs
2011-feat-bump-perplexity-models
1873-feat-auto-add-and-watch-folder-for-document-uploads
1297-feat-gemini-agent-support
1759-bug-ui-bug-fixes
1686-feat-implement-winston-for-logging
1536-bug-toggling-on-users-can-delete-workspaces-does-not-take-effect
agent-ui-mobile-styles
1522-feat-chromadb-support
1595-bug-unable-to-get-live-web-search-and-browsing-agent-working-using-google-custom-search-engine-error-getaddrinfo-enotfound-http-errno-3008
1582-bug-lm-studio-does-not-allow-for-different-model-selection
1312-bug-usernames-should-not-be-case-sensitive-when-logging-in
1029-feat-hf-serverless-inference-api
1086-feat-implement-normalized-input-fields
knowledge-graph-support
644-bug-uploaded-file-name-does-not-match-the-displayed-file-name-after-the-upload
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Reference: Mintplex-Labs/anything-llm#2944
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Originally created by @danny094 on GitHub (Nov 10, 2025).
Original GitHub issue: https://github.com/Mintplex-Labs/anything-llm/issues/4635
I previously suggested an idea for integrating Docker and MCP into Anything via a bridge. Now I've finally done it.
MCP Bridge & Prompt Injector (Danny)
Hello — I'm Danny, a solo developer, hobbyist dev, and security fanatic. This project provides a secure, Docker-friendly bridge for AnythingLLM, enabling the use of MCP (Model Context Protocol) tools across Docker networks — without granting Docker itself permission to start other containers.
Why this project?
AnythingLLM has a problem: Containers cannot (safely) start other containers. This breaks MCP workflows in isolated Docker setups. Instead of granting Docker additional privileges (which violates the security assumptions of containers), I built a different solution—an MCP bridge + prompt injector architecture. In short: I wanted to maintain control and security—and still be able to call tools (time, weather, docs, etc.) from within AnythingLLM.
Architecture (in brief)
bridge – a dummy MCP that acts as a target for AnythingLLM and forwards calls to real MCP services.
prompt-injector – central control center. Decides whether a tool is needed, injects system prompts, sanitizes input (security layer), and calls the MCP Hub if necessary.
MCP Hub – directory containing the available MCP tools (e.g., time, weather, docs), typically accessible as separate Docker containers.
Main Principles
No elevation of Docker privileges: no docker.sock mount, no DinD.
Security-first: Input sanitizer, tool access control, and audit logger.
Modular: simply add new MCP containers to the TOOLS map.
Example configuration (prompt rules)
Prompt Injector — Core Functions (Short)
-call_mcp_tool(tool: str, query: str) — constructs a JSON-RPC and calls MCP_HUB_URL/{tool}, parses the -----response, and returns the content.
-sanitize_input(prompt: str) — filters dangerous payloads such as rm -rf, sudo, curl, API keys, etc.
-ALLOWED_TOOLS — list of allowed tools (e.g., ["time","docs","search"]).
-MCP Hub — Example
time This works as a demo; the others are placeholders — simply enter the new MCP container there.
##Data & Context
prompt-injector/data/memory.db – Simple context database (currently: 10 entries) to ensure that subsequent queries for MCP calls remain context-sensitive.
TODO / Roadmap
-Complete implementation of Decision Rules (an agent that decides in advance whether an MCP call is necessary).
-Expand the audit logger (who made which request).
-Add more unit tests and sample MCPs (weather, docs).
-Optional authentication/user management for shared operation (family).
Security Notes
This architecture deliberately avoids docker.sock mounts.
Nevertheless: MCP services are web endpoints — be mindful of network access and secure your internal network (e.g., Docker Network ACLs, internal firewalls).
Participation / Usage
Clone the repository
Run docker compose up (Note: create external networks like danny_ai-net if necessary, or set external: true)
Adjust TOOLS and SYSTEM_PROMPT to your needs.
Check prompt-injector/ for sanitizer, ALLOWED_TOOLS, and memory configuration.
@danny094 commented on GitHub (Nov 10, 2025):
If the developers and users are interested in testing it,
here are the instructions.
And more detailed information as well.
Since everything runs via Docker, and Anythingllm doesn't need to be modified, it can't be broken.
https://github.com/danny094/mcp-docker-server-anythingllm/blob/main/installation.md
@timothycarambat commented on GitHub (Nov 12, 2025):
This is not the place to promote things! We use Github for feature requests and issue tracking. Stuff like this should go in Discord!
my AnythingLLM MCP Bridge & Prompt Injector docker onlyto [GH-ISSUE #4635] my AnythingLLM MCP Bridge & Prompt Injector docker only