This is the moment the user can actually talk to an agent end-to-end:
mcpctl create llm qwen3-thinking --type openai --model qwen3-thinking \
--url http://litellm.nvidia-nim.svc.cluster.local:4000/v1 \
--api-key-ref litellm-key/API_KEY
mcpctl create agent reviewer --llm qwen3-thinking --project mcpctl-dev \
--description "I review security design — ask me after each major change."
mcpctl chat reviewer
Pieces:
* src/cli/src/commands/chat.ts (new) — REPL + one-shot. Streams the SSE
endpoint and prints text deltas to stdout as they arrive; tool_call /
tool_result events go to stderr in dim-style brackets so the chat
output stays clean. LiteLLM-style flags (--temperature / --top-p /
--top-k / --max-tokens / --seed / --stop / --allow-tool / --extra)
layer over agent.defaultParams. In-REPL slash-commands: /set KEY VAL,
/system <text>, /tools (list project's MCP servers), /clear (new
thread), /save (PATCH agent.defaultParams = current overrides),
/quit.
* src/cli/src/commands/create.ts — `create agent` mirroring the llm
pattern. Every yaml-applyable field has a corresponding flag (memory
rule); --default-temperature / --default-top-p / --default-top-k /
--default-max-tokens / --default-seed / --default-stop /
--default-extra / --default-params-file all populate agent.defaultParams.
* src/cli/src/commands/apply.ts — AgentSpecSchema accepts both `llm:
qwen3-thinking` shorthand and `llm: { name: ... }` long form; runs
after llms in the apply order so apiKey/llm references resolve. Round-
trips with `get agent foo -o yaml | apply -f -` (memory rule).
* src/cli/src/commands/get.ts — agentColumns (NAME, LLM, PROJECT,
DESCRIPTION, ID); RESOURCE_KIND mapping for yaml export.
* src/cli/src/commands/shared.ts — `agent`/`agents`/`thread`/`threads`
added to RESOURCE_ALIASES.
* src/cli/src/index.ts — wires createChatCommand into the program; passes
the resolved baseUrl + token so chat can stream SSE without going
through ApiClient (which only does buffered request/response).
* completions/mcpctl.{fish,bash} regenerated. scripts/generate-completions.ts
knows about agents (canonical + aliases) and emits a special-case
`chat)` block that completes the first arg with `mcpctl get agents`
names. tests/completions.test.ts: +9 new assertions covering agents in
the resource list, chat in the commands list, --llm flag for create
agent, agent-name completion for chat, etc.
CLI suite: 430/430 (was 421). Completions --check is clean.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
- Add warmup() to LlmProvider interface for eager subprocess startup
- ManagedVllmProvider.warmup() starts vLLM in background on project load
- ProviderRegistry.warmupAll() triggers all managed providers
- NamedProvider proxies warmup() to inner provider
- paginate stage generates LLM-powered descriptive page titles when
available, cached by content hash, falls back to generic "Page N"
- project-mcp-endpoint calls warmupAll() on router creation so vLLM
is loading while the session initializes
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Comprehensive MCP server management with kubectl-style CLI.
Key features in this release:
- Declarative YAML apply/get round-trip with project cloning support
- Gated sessions with prompt intelligence for Claude
- Interactive MCP console with traffic inspector
- Persistent STDIO connections for containerized servers
- RBAC with name-scoped bindings
- Shell completions (fish + bash) auto-generated
- Rate-limit retry with exponential backoff in apply
- Project-scoped prompt management
- Credential scrubbing from git history
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Added __mcpctl_needs_server_arg guard in fish and position check in
bash so completions stop after one server name is selected.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Instances have no name field — use server.name for completions
- attach-server: show only servers NOT in the project
- detach-server: show only servers IN the project
- Add helper functions for project-aware server completion
- 5 new tests covering all three fixes
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
API returns { "resources": [...] } not bare arrays, so .[].name
produced no output. Use .[][].name to unwrap the outer object first.
Also auto-load .env in pr.sh.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The regex "name":\s*"..." on JSON matched nested server names inside
project objects, mixing resource types in completions. Switch to
jq -r '.[].name' for proper top-level extraction. Add jq as RPM
dependency. Add pr.sh for PR creation via Gitea API.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Fish completions are additive — sourcing a new file doesn't remove old
rules. Add `complete -c mcpctl -e` at the top to clear stale entries.
Also add 12 structural tests to prevent completion regressions.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
