Knowledge Forest
Local-first personal knowledge and learning memory for AI tutors with evidence-gated mastery.
Connector by znecho9 · GitHub account verified by the MCP Registry
Chalk Labs
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Install
Works with Claude Desktop. Read the repository before you give any tool access to your data.
MCP bundle (.mcpb): open it with Claude Desktop.
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About
Reviews
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Permissions
What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.
- Tools
- 6 read · 4 write · 0 delete
- Secrets
- None asked for
- Install scripts
- Not scanned yet
- Runs as
- Downloaded binary
Tools by what they do 10
Read from the source code; the running server may list different tools.
Read 6 · Look things up without changing anything.
diagnose_nodeexport_forestforest_overviewget_learning_queueget_node_contextsearch_knowledge
Write 4 · Create, change, send or run things.
append_learning_notecreate_goal_treerecord_verificationupdate_node_learning_state
Network hosts it talks to 1
github.com· found in install command
Tools (10)
Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].
append_learning_noteAppend a learning recordAppend a note, reflection, source, or exercise to a node. Source-visible material never changes mastery state.
create_goal_treeCreate a minimal sufficient goal treePersist one observable goal, its branches, and prerequisite-linked knowledge nodes. Search first. Use reuse_node_id only for truly equivalent existing concepts.
diagnose_nodeDiagnose a knowledge noderead-onlyDeterministically identify prerequisite, depth, and evidence gaps and recommend the next learning action. It does not call a model.
export_forestExport the complete forestread-onlyRead the complete portable forest state, including append-only learning records and evidence.
forest_overviewView knowledge forest overviewread-onlyRead goals, mastery counts, and the next ready knowledge nodes. Call this first; it never modifies learning state.
get_learning_queueGet the actionable learning queueread-onlyReturn ready and prerequisite-blocked nodes, ordered by readiness and importance.
get_node_contextGet complete node contextread-onlyRead a knowledge node, its goal memberships, prerequisites, dependents, learning entries, verification history, and deterministic diagnosis.
record_verificationRecord closed-book mastery evidenceRecord one verification attempt. Mastery advances only for demonstrated, novel, unassisted, closed-book performance; the server computes acceptance.
search_knowledgeSearch knowledge nodesread-onlySearch canonical nodes before creating a goal tree. Results include reuse context and current mastery state.
update_node_learning_stateUpdate learning depth or workflow stateSet a learner-selected depth or non-verified workflow state. This tool cannot mark mastery; use record_verification for that.
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit
- Sep 24, 2026 (1 month ago)
- Last release
- Sep 24, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- Registry name
io.github.znecho9/knowledge-forest-mcp- Version
- 0.1.1
- Auth
- No auth
- Packages
- mcpb https://github.com/znecho9/knowledge-forest-mcp/releases/download/v0.1.1/knowledge-forest-mcp.mcpb
- License
- Apache-2.0
- Repository
- github.com/znecho9/knowledge-forest-mcp
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
Done for you
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Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
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Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
Knowledge Forest MCP server. Agent Mart. https://agentmart.dev/connectors/znecho9-knowledge-forest-mcp (last updated 2026-10-24)