MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
Reference guide for building new Omnigent harness integrations — covers SDK/subprocess harnesses and native harnesses as separate tracks, each with their own feature matrix, implementation patterns…
$ npx skills add omnigent-ai/omnigent --skill harness-integration-guide -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install omnigent-ai/omnigent harness-integration-guide --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/omnigent-ai/omnigent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/harness-integration-guide .claude/skills/harness-integration-guide && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "harness-integration-guide" agent skill from https://github.com/omnigent-ai/omnigent/tree/main/.claude/skills/harness-integration-guide into .claude/skills/harness-integration-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "harness-integration-guide", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/omnigent-ai/omnigent/tree/main/.claude/skills/harness-integration-guideType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add omnigent-ai/omnigent --skill harness-integration-guide -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install omnigent-ai/omnigent harness-integration-guide --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/omnigent-ai/omnigent.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/harness-integration-guide .agents/skills/harness-integration-guide && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "harness-integration-guide" agent skill from https://github.com/omnigent-ai/omnigent/tree/main/.claude/skills/harness-integration-guide into .agents/skills/harness-integration-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "harness-integration-guide", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add omnigent-ai/omnigent --skill harness-integration-guide -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install omnigent-ai/omnigent harness-integration-guide --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/omnigent-ai/omnigent.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/harness-integration-guide .cursor/skills/harness-integration-guide && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "harness-integration-guide" agent skill from https://github.com/omnigent-ai/omnigent/tree/main/.claude/skills/harness-integration-guide into .cursor/skills/harness-integration-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "harness-integration-guide", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/omnigent-ai/omnigent.git --path .claude/skills/harness-integration-guide--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add omnigent-ai/omnigent --skill harness-integration-guide -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install omnigent-ai/omnigent harness-integration-guide --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/omnigent-ai/omnigent.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/harness-integration-guide .gemini/skills/harness-integration-guide && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "harness-integration-guide" agent skill from https://github.com/omnigent-ai/omnigent/tree/main/.claude/skills/harness-integration-guide into .gemini/skills/harness-integration-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "harness-integration-guide", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install omnigent-ai/omnigent harness-integration-guideInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add omnigent-ai/omnigent --skill harness-integration-guide -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/omnigent-ai/omnigent.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/harness-integration-guide .github/skills/harness-integration-guide && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "harness-integration-guide" agent skill from https://github.com/omnigent-ai/omnigent/tree/main/.claude/skills/harness-integration-guide into .github/skills/harness-integration-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "harness-integration-guide", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add omnigent-ai/omnigent --skill harness-integration-guide -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install omnigent-ai/omnigent harness-integration-guide --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/omnigent-ai/omnigent.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/harness-integration-guide .opencode/skills/harness-integration-guide && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "harness-integration-guide" agent skill from https://github.com/omnigent-ai/omnigent/tree/main/.claude/skills/harness-integration-guide into .opencode/skills/harness-integration-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "harness-integration-guide", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
harness-integration-guideReference guide for building new Omnigent harness integrations — covers SDK/subprocess harnesses and native harnesses as separate tracks, each with their own feature matrix, implementation patterns…
Harness Integration Guide is an agent skill from omnigent-ai/omnigent. Reference guide for building new Omnigent harness integrations — covers SDK/subprocess harnesses and native harnesses as separate tracks, each with their own feature matrix, implementation patterns, and prioritized checklist.
Its SKILL.md is about 2.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Agent Workflows. It works with Model Context Protocol. The repository describes itself as: Omnigent is an open-source AI agent framework and meta-harness: orchestrate Claude Code, Codex, Cursor, Pi, and custom agents — swap harnesses without rewriting, enforce policies… The licence is Apache-2.0.
Read from SKILL.md and the folder at commit 2e1cd15. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Harness Integration Guide loads about 2.7k tokens when it runs. Until then it costs about 63 tokens; SKILL.md has 1,348 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from omnigent-ai/omnigent at commit 2e1cd15, republished under its Apache-2.0 licence (© omnigent-ai). 1,348 words, ~2,716 tokens.
.claude/skills/harness-integration-guide/SKILL.md (or your agent's skills folder).This skill describes the feature matrix every Omnigent harness must consider. Use it when planning, reviewing, or implementing a new harness.
Omnigent has two distinct harness tracks with different architectures and feature sets:
These harnesses run the vendor model directly and bridge Omnigent tools into the vendor's tool-calling interface.
| Capability | What it means |
|---|---|
| Connects to Omnigent MCP | Harness exposes/consumes tools via the MCP protocol (in-proc SDK MCP server) |
| Model override | User can select a model via --model / config; some harnesses are vendor-locked (e.g. Claude-only, GPT-only, Gemini-only) |
| Auth | How credentials are obtained — API key, gateway token, vendor CLI login, OAuth, etc. |
| Streaming | Harness forwards token-level or delta-level streaming to the Omnigent forwarder |
| Omnigent policies | Harness enforces Omnigent-side tool policies — must support ALLOW, ASK, and DENY verdicts for both tool calls and tool results |
| Native elicitation | When a policy verdict is ASK, the harness surfaces the approval request in the Omnigent web UI so the user can approve or deny |
| Interrupt | User can cancel a running turn mid-stream |
| Live queue (concurrent) | Multiple turns can be queued and processed concurrently |
| Tool-boundary steer | Omnigent can inject steering text at tool-call boundaries |
| Resume/fork from Omnigent transcript | Rebuild a conversation from a stored Omnigent transcript (replay history, seed prompt, or vendor session ID) |
| Compaction | Long conversations are compacted; harness surfaces CompactionComplete events |
| Reasoning | Model reasoning/thinking tokens are forwarded |
| Images | Image content (screenshots, diagrams) is forwarded — full binary, path reference, or text-flattened |
| Cost tracking | Harness reports token usage and cost data back to Omnigent for each turn |
The harness must bridge Omnigent's builtin MCP tools so the model can call them. These tools provide session management, agent orchestration, policy control, and web access:
sys_session_get_info, sys_session_list, sys_session_get_historysys_agent_get, sys_agent_list, sys_agent_downloadsys_call_async, sys_cancel_async, sys_cancel_tasksys_read_inboxsys_add_policy, sys_policy_registryload_skilllist_comments, update_commentweb_fetch, web_searchThe harness must support the Omnigent policy engine's three verdicts at two checkpoints:
| Checkpoint | ALLOW | ASK | DENY |
|---|---|---|---|
| Tool call (before execution) | Proceed silently | Surface approval request to user (via elicitation) | Block the call and return a policy-denied error to the model |
| Tool result (after execution) | Return result to model | Surface result for user review before returning | Suppress the result and return a policy-denied error to the model |
When a policy verdict is ASK, the harness must surface the pending tool call or tool result in the Omnigent web UI as an approval card, then relay the user's approve/deny decision back to the harness to continue or block execution.
| Strategy | How it works |
|---|---|
| Full history replay | Replays the entire message history into a fresh thread/session |
| History prefix replay | Replays a prefix of the history into a fresh session |
| Text-prefix replay | Injects a text summary/prefix of prior history |
| Prompt seeding | Seeds prior history into the system prompt on rebuild |
| Vendor session ID | Relies on the vendor's own session persistence (no Omnigent-side rebuild) |
| Pattern | Description |
|---|---|
| API key / Databricks gateway | Direct API key or routed through a Databricks gateway |
| Vendor API key (direct) | Vendor-specific API key (e.g. Cursor, Gemini) |
| Vendor CLI login / config file | Credentials stored in a vendor config file or managed via vendor CLI login |
| OAuth / GitHub token | OAuth flow or platform token (e.g. GitHub PAT) |
| Gateway + fallback | Primary gateway with fallback to vendor-native auth |
All capabilities are required for a complete harness integration:
omni setup)CompactionComplete events)If the vendor CLI speaks the Agent Client Protocol on stdio (the
goose acp / qwen --acp family), do NOT write a new inner module, registry
entries, or a spawn-env builder. Add one row to ACP_CLI_HARNESSES in
omnigent/acp_cli_harnesses.py (label, binary, ACP argv, aliases, install
hint or npm package, vendor login command) plus docs. Validity, module
routing, picker label, capabilities, install spec, readiness, setup steps,
spawn env, and the live e2e-matrix exclusion all derive from the row;
tests/test_acp_cli_harnesses.py asserts the wiring per row automatically.
These rows run through omnigent/inner/acp_harness.py and AcpExecutor, own
their auth and model selection, and reject /model overrides up front.
Native harnesses wrap a vendor's own TUI or server and mirror output into Omnigent. They relay the vendor's conversation into the Omnigent session.
| Capability | What it means |
|---|---|
| Transport | How the native harness communicates — tmux TUI, app server, HTTP/SSE, file-inject TUI |
| Connects to Omnigent MCP | Whether the native harness connects to the Omnigent MCP server |
| Model override | User can select a model at launch or per-prompt |
| Auth | Vendor login / config / token |
| Streaming (forwarder) | deltas (token-level) vs complete-only (full response after completion) |
| Omnigent policies | Whether the native harness enforces Omnigent-side tool policies — must support ALLOW, ASK, and DENY verdicts for both tool calls and tool results |
| Native elicitation | When a policy verdict is ASK, the native harness surfaces the approval request in the Omnigent web UI so the user can approve or deny |
| Interrupt | User can abort a running turn |
| Bidirectional sync (TUI->Omni) | TUI output mirrors into the Omnigent conversation |
| In-harness session-cmd sync | Supports clear, fork, resume, switch commands from Omnigent |
| Resume/fork from Omnigent transcript | Can rebuild conversation from Omnigent transcript (native rebuild, or fresh launch) |
| Compaction | Vendor-internal compaction status |
| Reasoning | Model reasoning/thinking tokens are forwarded |
| Images | Image content is forwarded — path reference, full binary, or text-flattened |
| Cost tracking | Native harness reports token usage and cost data back to Omnigent for each turn |
| Tool-output streaming | Live incremental command/tool output (outputDelta) vs final aggregated output only |
| Working-tree diff | The vendor's aggregated per-turn diff is surfaced (vs reconstructed from per-file edits) |
| Generated/viewed media | Model-produced or model-viewed images are mirrored (distinct from user-supplied image input) |
| Vendor modes | Vendor-specific modes (review mode, plan mode, etc.) are mirrored as status |
Capabilities are tiered by how essential they are. P0 must work or the harness is non-functional. P1 is required for a complete, parity-level integration — the web surface should match what the vendor TUI shows. Stretch items depend on vendor-specific signals and improve fidelity; they are optional and may legitimately be closed as wontfix when the vendor provides no signal or the data is redundant.
P0 — core (non-functional without these)
P1 — parity (required for a complete integration)
Stretch — vendor-dependent fidelity
outputDelta), not just final aggregated output© omnigent-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .claude/skills/harness-integration-guide of omnigent-ai/omnigent.
Open the folder on GitHubat commit 2e1cd15
Harness Integration Guide next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Harness Integration Guide this skillomnigent-ai/omnigent | 11k | — | ~2.7k | Automated safety check: Pass | Apache-2.0 | |
| MCP Server Builderanthropics/skills | 180k | 63 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| MCP Server BuildershareAI-lab/learn-claude-code | 78k | 5 repos | ~1.2k | Automated safety check: Pass | MIT | |
| MCP Integration for Pluginsanthropics/claude-plugins-official | 38k | 11 repos | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| MemPalace Memory SearchMemPalace/mempalace | 59k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Crush Configurationcharmbracelet/crush | 29k | — | ~3.7k | Automated safety check: Pass | Custom licence |
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
shareAI-lab/learn-claude-code
Walks through building MCP servers in Python or TypeScript that expose tools, resources and prompts to Claude, with templates, registration and testing.
anthropics/claude-plugins-official
Explains how to bundle Model Context Protocol servers in a Claude Code plugin, covering config files, stdio, SSE, HTTP and WebSocket server types, and authentication.
MemPalace/mempalace
Mines project files and conversation exports into a local, searchable memory palace and recalls past work by semantic search through the mempalace CLI.
charmbracelet/crush
Explains how to configure the Crush coding agent with crushrc or crush.json, covering providers, models, LSPs, MCP servers, hooks, permissions and config precedence.
mksglu/context-mode
Routes large command, file, API and browser output through context-mode tools so only the needed result enters the agent's context, instead of dumping it via Bash.
omnigent-ai/omnigent
Brings up the Omnigent server and Postgres as a Docker compose stack on any Docker host, and covers the Dockerfile's runtime and host build targets for extending it to a new platform.
omnigent-ai/omnigent
Scans Python agent code for framework imports and recommends the matching Omnigent executor type, or says when the framework is not natively supported yet.
omnigent-ai/omnigent
Runs the Omnigent load test with real hosts and multi-turn sessions against a mocked LLM, then explains the latency results from summary.md.
omnigent-ai/omnigent
Spins up an isolated Omnigent server, runner and mock model to prove a user-facing behavior or bug fix with recorded evidence instead of reasoning from code.
omnigent-ai/omnigent
Spins up a local Omnigent server and exercises the Antigravity (Gemini) SDK harness end to end: building agents, running real turns, smoke tests and bug-bashing.
omnigent-ai/omnigent
Gives patterns for generating a minimal, valid Omnigent agent directory: the config.yaml fields, the right executor type, and the files each agent needs.
Works with
Categories
Reference guide for building new Omnigent harness integrations — covers SDK/subprocess harnesses and native harnesses as separate tracks, each with their own feature matrix, implementation patterns…. Harness Integration Guide is an agent skill from omnigent-ai/omnigent. Reference guide for building new Omnigent harness integrations — covers SDK/subprocess harnesses and native harnesses as separate tracks, each with their own feature matrix, implementation patterns, and prioritized checklist.
Harness Integration Guide fits situations like: agent Workflows work in your project.
Run `npx skills add omnigent-ai/omnigent --skill harness-integration-guide -a claude-code`. Or copy the skill folder (.claude/skills/harness-integration-guide in omnigent-ai/omnigent) into .claude/skills/harness-integration-guide in your project. Claude Code loads it when a task matches its description.
Run `npx skills add omnigent-ai/omnigent --skill harness-integration-guide -a codex`. Or copy the skill folder (.claude/skills/harness-integration-guide in omnigent-ai/omnigent) into .agents/skills/harness-integration-guide in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add omnigent-ai/omnigent --skill harness-integration-guide -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/harness-integration-guide, .gemini/skills/harness-integration-guide, .github/skills/harness-integration-guide and .opencode/skills/harness-integration-guide in your project.
SKILL.md names no scripts, command-line tools or credentials: Harness Integration Guide is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Harness Integration Guide is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.7k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Harness Integration Guide: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 38k stars) and MemPalace Memory Search (MemPalace/mempalace, 59k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
omnigent-ai (a GitHub organization) maintains it in omnigent-ai/omnigent, which has 10,691 GitHub stars. The repository holds 19 skills in this directory. The repository was last updated on October 9, 2026.
Source: omnigent-ai/omnigent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.