LLM Bridge Server
БесплатноНе проверенA local-first MCP server that enables MCP hosts to use GLM-family LLM providers for knowledge consultation, reasoning, UI auditing, repository inspection, and a
Описание
A local-first MCP server that enables MCP hosts to use GLM-family LLM providers for knowledge consultation, reasoning, UI auditing, repository inspection, and approval-gated development assistance.
README
LLM-bridge-mcp-server is a local-first MCP server that lets Codex, Claude Desktop, and other MCP-compatible hosts use GLM-family and compatible LLM providers as knowledge consultants, reasoning specialists, UI auditors, repository inspectors, and approval-gated development assistants.
The project started as a thin model bridge. It now exposes a safer orchestration layer around provider requests, persistent context, bounded agent loops, repository memory, workflows, jobs, and approval-controlled file changes. The host remains the primary controller at every stage.
For installation and package metadata, the npm package name remains lowercase and scoped: @magnexis/llm-bridge-mcp-server. The GitHub repository and display branding use LLM-bridge-mcp-server.
Release guide: RELEASE.md
Why this project exists
Most model bridges either stop at plain prompting or overreach into unrestricted autonomy. This server is built around a narrower and more practical middle ground:
- strong MCP compatibility
- explicit security boundaries
- local-first persistence
- approval-driven mutation
- auditable orchestration
- provider-aware LLM integration
Architecture
MCP host
-> strict Zod-validated tool input
-> MCP server registration layer
-> provider-aware GLM client / local orchestration services
-> local persistence, policy, workflow, and approval stores
-> approval-gated file mutation and allowlisted command execution
The compiled entry point is dist/index.js, and npm start launches node dist/index.js.
The server supports both local stdio MCP hosting and remote HTTP MCP hosting. Use GLM_BRIDGE_TRANSPORT_MODE=stdio for local hosts like Codex or Claude Desktop, or GLM_BRIDGE_TRANSPORT_MODE=http to expose a remote streamable HTTP MCP endpoint.
Compatibility note: the project branding is now LLM-bridge-mcp-server, while the existing public MCP tool names, resource URIs, prompts, and GLM_BRIDGE_* environment variables remain stable for backward compatibility.
Release artifacts included in this repository:
package.jsonfor npm publicationserver.jsonfor MCP Registry metadatamanifest.jsonas a desktop-extension packaging manifest scaffoldLICENSEandCHANGELOG.mdfor release distribution
For npx-style launch flows, publish the executable CLI package as:
npx @magnexis/llm-bridge-mcp-server
Feature matrix
| Capability | Status |
|---|---|
| Knowledge consultation | Implemented |
| Deep reasoning | Implemented |
| Vision/UI auditing | Implemented |
| Smart routing | Implemented |
| Controlled read-only agent loop | Implemented |
| Persistent contexts | Implemented |
| Persistent sessions | Implemented |
| Repository memory | Implemented |
| Approval-gated file changes | Implemented |
| Checkpoint and rollback | Implemented |
| Allowlisted approved commands | Implemented |
| Roles and orchestration jobs | Implemented |
| Workflow registry and runner | Implemented |
| Workspace inspection | Implemented |
| Restricted network retrieval | Implemented, disabled by default |
| Streamable HTTP MCP transport | Implemented |
| Legacy SSE MCP compatibility endpoint | Implemented |
| Remote bearer-token protection | Implemented |
| OAuth metadata discovery for remote MCP clients | Implemented |
| Import and export | Implemented in safe JSON form |
| Privacy modes | Partially implemented in config and policy surface |
Tool list
Core tools preserved:
glm_5_route_agentic_taskglm_5_query_reasoningglm_5_consult_knowledgeglm_5v_diff_ui_layoutglm_5_smart_routeglm_5_run_controlled_agentglm_5_context_manageglm_5_inspect_project_contextglm_5_continue_task
Development and orchestration tools:
glm_5_propose_changesglm_5_approve_and_apply_changesglm_5_rollback_changesglm_5_plan_code_changeglm_5_propose_patchglm_5_apply_approved_patchglm_5_review_change_setglm_5_rollback_change_setglm_5_run_approved_commandglm_5_execute_development_taskglm_5_orchestrate_project_taskglm_5_inspect_jobglm_5_resume_jobglm_5_cancel_jobglm_5_manage_policy_profileglm_5_inspect_repository_memoryglm_5_update_repository_memoryglm_5_create_workflowglm_5_run_workflowglm_5_list_pending_approvalsglm_5_inspect_workspaceglm_5_compare_model_recommendationsglm_5_evaluate_model_routingglm_5_fetch_referenceglm_5_export_project_stateglm_5_import_project_state
Resource list
glm-bridge://capabilitiesglm-bridge://configurationglm-bridge://contextsglm-bridge://sessionsglm-bridge://jobsglm-bridge://workflowsglm-bridge://policiesglm-bridge://approvalsglm-bridge://repository-memoryglm-bridge://evaluations
Prompt list
glm_architecture_reviewglm_repository_auditglm_debugging_sessionglm_ui_reviewglm_second_opinionglm_implementation_taskglm_safe_refactorglm_fix_failing_testsglm_dependency_upgradeglm_multi_agent_implementationglm_repository_modernizationglm_security_remediationglm_release_readinessglm_architecture_consensus
Provider support
Supported providers:
- direct Z.AI via
ZAI_PROVIDER=zai - OpenRouter-compatible chat completions via
ZAI_PROVIDER=openrouter
The provider capability layer distinguishes text, vision, structured output, reasoning toggles, and numeric reasoning-budget support rather than assuming all OpenAI-like providers behave identically.
Installation
npm install
copy .env.example .env
npm run build
npm start
On macOS or Linux, use cp .env.example .env.
Configuration
Required:
ZAI_API_KEY
Important optional variables:
ZAI_PROVIDERZAI_API_BASE_URLZAI_TEXT_MODELZAI_VISION_MODELGLM_BRIDGE_DATA_DIRGLM_BRIDGE_LOG_LEVELGLM_BRIDGE_TRANSPORT_MODEGLM_BRIDGE_HTTP_HOSTGLM_BRIDGE_HTTP_PORTGLM_BRIDGE_REMOTE_AUTH_MODEGLM_BRIDGE_REMOTE_AUTH_TOKENGLM_BRIDGE_RATE_LIMIT_ENABLEDGLM_BRIDGE_RATE_LIMIT_MAX_REQUESTSGLM_BRIDGE_PROVIDER_RATE_LIMIT_PER_MINUTEGLM_BRIDGE_NETWORK_ENABLEDGLM_BRIDGE_ALLOWED_DOMAINS
Build and development
npm run typecheck
npm run test:run
npm run build
npm run inspect:mcp
npm run verify
Claude Desktop
See docs/CLAUDE-DESKTOP.md and examples/claude_desktop_config.json.
Codex
See docs/CODEX.md and examples/codex-config.toml.
MCP Registry packaging
This repository is now structured for MCP Registry publication as an npm package with a companion server.json. See docs/REGISTRY-PUBLISHING.md.
Remote MCP hosting
When GLM_BRIDGE_TRANSPORT_MODE=http, the server exposes:
- streamable HTTP at
GLM_BRIDGE_HTTP_MCP_PATH(default/mcp) - deprecated SSE compatibility at
GLM_BRIDGE_HTTP_SSE_PATH(default/sse) - deprecated SSE message POST endpoint at
GLM_BRIDGE_HTTP_MESSAGES_PATH(default/messages) - a health endpoint at
/healthz - protected resource metadata at
/.well-known/oauth-protected-resource{mcpPath} - optional OAuth authorization metadata at
/.well-known/oauth-authorization-server
Remote auth modes:
nonebeareroauth_metadata
Example usage
Knowledge consultation:
Use glm_5_consult_knowledge for a second opinion on a TypeScript API boundary.
Reasoning:
Use glm_5_query_reasoning to compare retry policies for provider failures.
Vision:
Use glm_5v_diff_ui_layout with an absolute local screenshot path and a review objective.
Controlled agent:
Use glm_5_run_controlled_agent for bounded repository inspection in a specific working directory.
Approvals and patches:
Use glm_5_propose_patch to persist a reviewable change set, then glm_5_apply_approved_patch with the exact matching approvalId.
Multi-agent coordination:
Use glm_5_orchestrate_project_task to create a role-specific job and inspect it with glm_5_inspect_job.
Security model
- no unrestricted shell execution
- no unrestricted filesystem access
- no unrestricted network retrieval
- no automatic mutation resume after restart
- no access to
.env, private keys,.aws,.ssh,.npmrc, or similar sensitive files - no raw Base64 image persistence in resources or stores
- no hidden chain-of-thought exposure
Approval system
All file mutation remains explicit and proposal-bound. The current implementation uses distinct approval records per proposal revision, with expiry, single-use consumption, and revocation when a proposal materially changes.
Controlled-agent limitations
The controlled agent is read-only and only exposes a bounded local tool allowlist:
read_text_filelist_directorysearch_textinspect_packageinspect_git_status
Persistence
The server stores contexts, sessions, development proposals, audit records, jobs, policies, repository memory, and workflows under GLM_BRIDGE_DATA_DIR using atomic JSON replacement.
Repository memory
Repository memory tracks architecture notes, conventions, testing patterns, security rules, dependencies, and known strategies with provenance, confidence, and status metadata.
Jobs and workflows
Orchestration jobs and workflow runs persist planning state and task graphs. Mutation still requires explicit approval; jobs do not auto-resume writes after restart.
Workspace support
glm_5_inspect_workspace detects workspace signals such as npm workspaces, pnpm, Turborepo, Nx, and Lerna and reports package manifests visible within the inspected repository.
Network retrieval
glm_5_fetch_reference is disabled by default. When enabled, it allows HTTPS-only retrieval with an allowlist, rejects credential-bearing URLs, blocks localhost and private-IP literal targets, rejects redirects, and limits content to text-like responses.
Privacy
The policy/profile surface exposes standard, minimal_retention, and no_persistence. Runtime enforcement is still partial, so the docs describe those modes as in-progress rather than fully complete.
Testing
The test suite is built with Vitest and does not require a live API key. Use:
npm run test:run
Troubleshooting
- Missing key: set
ZAI_API_KEYin the host MCP environment. - Empty tool list: rebuild and restart the host after changing the server.
- Network fetch denied:
GLM_BRIDGE_NETWORK_ENABLEDis false by default. - Approval failure: the apply/rollback request must use the exact matching proposal identifier.
Known limitations
- Approval records now exist, but broader queue/reissue workflows can still be deepened further.
- Remote hosting is implemented for streamable HTTP and legacy SSE compatibility. WebSocket server hosting is not included in the current SDK/runtime pass.
- Privacy-mode enforcement is not yet comprehensive across all stores.
- The network retrieval layer is still fail-closed and intentionally narrow.
- Documentation now reflects the implemented state, not the full aspirational architecture.
Roadmap
- complete privacy-mode enforcement
- deepen orchestration consensus behavior
- deepen quality-gate execution
- complete privacy-mode enforcement
- generalize workflow-step execution and rollback semantics
License
MIT � 2026 Magnexis. See LICENSE.
Установка LLM Bridge Server
У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.
▸ github.com/magnexis/LLM-bridge-mcp-serverFAQ
LLM Bridge Server MCP бесплатный?
Да, LLM Bridge Server MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для LLM Bridge Server?
Нет, LLM Bridge Server работает без API-ключей и переменных окружения.
LLM Bridge Server — hosted или self-hosted?
Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.
Как установить LLM Bridge Server в Claude Desktop, Claude Code или Cursor?
Открой LLM Bridge Server на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
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