mcp-tekna
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@mcp-teknasearch for upcoming events on artificial intelligence"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
mcp-tekna
MCP server for Tekna events and news.
Installation
Claude Code (Plugin)
claude plugin add github:Vortiago/mcp-teknaClaude Desktop (Manual Config)
Add to your claude_desktop_config.json:
{
"mcpServers": {
"mcp-tekna": {
"command": "uvx",
"args": ["mcp-tekna"]
}
}
}Claude Desktop (.mcpb Bundle)
npm install -g @anthropic-ai/mcpb
cd mcpb
mcpb pack
# Double-click the resulting .mcpb file to installPyPI
uvx mcp-teknaDocker
docker build -t mcp-tekna .
docker run -p 3000:3000 mcp-tekna
# Connect from claude.ai: http://localhost:3000Or with docker compose:
docker compose upRelated MCP server: Ticketmaster Partner API
Tools
search_events
Search Tekna's event catalog with optional filters for region, topic, format, price, language, and audience.
search_events(query="AI", region="Vestlandet")get_event_details
Get full details for a specific event including speakers, agenda, and pricing.
get_event_details(event_number="51691")get_news
Fetch recent news articles with optional content type filtering.
get_news(content_type="Politisk", page=1)get_member_benefits
List all Tekna member benefits organized by category.
get_member_benefits()Development
uv sync
uv run mcp-teknaFor streamable-http transport:
MCP_TRANSPORT=streamable-http uv run mcp-teknaEnvironment Variables
Variable | Default | Description |
|
| Transport protocol ( |
|
| Host for streamable-http |
|
| Port for streamable-http |
|
| Tekna API timeout in seconds |
|
| Cache TTL in seconds (15 min) |
|
| Logging level |
Running Tests
uv run pytest tests/ -vVersion Bumping
git tag v0.2.0
uv run poe bump-versionLicense
MIT
Available Tools
4 toolsget_event_detailsARead-only
Get full details for a specific Tekna event.
Always include the event link when presenting results. Format as clickable markdown: Event Title
Args: event_number: The event number (e.g., '51691')
| Name | Required | Description | Default |
|---|---|---|---|
| event_number | Yes |
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description adds the behavioral detail of formatting the output as a clickable markdown link, which goes beyond the readOnlyHint annotation. No contradiction with annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise, front-loaded with purpose, includes necessary usage instruction, and has no redundant sentences. Every sentence provides value.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the presence of an output schema, the description is complete. It covers the key information needed: purpose, parameter, and presentation format. No gaps remain.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 0% description coverage, but the description provides a brief definition for 'event_number' with an example. This compensates for the missing schema description sufficiently.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states 'Get full details for a specific Tekna event', which is a specific verb+resource. It distinguishes from siblings like search_events (search vs specific) and get_news, get_member_benefits (different resources).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides clear instructions on how to present results (always include event link as clickable markdown). However, it does not explicitly state when to use this tool versus alternatives, though the specificity of the event number implies it's for single-event retrieval.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_member_benefitsARead-only
List all Tekna member benefits with descriptions and URLs.
Always include benefit links when presenting results. Format as clickable markdown: Benefit Name
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The annotations already declare readOnlyHint=true, so the description's job is to add context. It adds instructions on how to format results (include links, markdown), but does not disclose any behavioral traits beyond what annotations provide. The description does not contradict annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise with two sentences, no wasted words. The first sentence front-loads the purpose, and the second provides actionable formatting instructions. Perfectly sized for the task.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool has no parameters and an output schema exists, the description covers everything needed: what the tool does, what it returns, and how to present results. No gaps are present.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has no parameters, so schema coverage is 100%. The description adds meaning beyond the schema by specifying the tool's purpose and output formatting (always include links, markdown), which is valuable for the agent.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states that the tool lists all Tekna member benefits with descriptions and URLs, using a specific verb and resource. It distinguishes itself from sibling tools (get_event_details, get_news, search_events) by focusing on benefits.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies that the tool should be used to retrieve member benefits, and the context of sibling tools makes the use case clear. However, it does not explicitly state when not to use it or mention alternatives, leaving room for ambiguity in more complex scenarios.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_newsARead-only
Fetch recent news articles from Tekna.
Always include article links when presenting results. Format as clickable markdown: Article Title
Args: content_type: Filter by type (Aktuelt, Tekna magasinet, Rad og tips, Politisk, Working in Norway) page: Page number (1-based, default 1) page_size: Items per page (default 10, max 50)
| Name | Required | Description | Default |
|---|---|---|---|
| content_type | No | ||
| page | No | ||
| page_size | No |
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Adds context beyond readOnlyHint by specifying the data source and required formatting, without contradicting annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Concise but effectively structured with a clear purpose, formatting note, and parameter list. Could be slightly more streamlined.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the presence of an output schema, the description sufficiently covers input details and required behavior, leaving minimal gaps.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With 0% schema coverage, the description fully explains each parameter's meaning, defaults, and enum values for content_type, compensating entirely.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool fetches news articles from Tekna, with specific instructions to include links. It distinguishes itself from sibling tools like get_event_details.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Provides clear guidance on formatting results and including links, but does not explicitly contrast with alternatives or state when not to use.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
search_eventsARead-only
Search Tekna's event catalog with optional filters.
Always include the event links when presenting results. Format as clickable markdown: Event Title
Args: query: Free-text search (e.g., 'AI', 'ledelse') region: Filter by region (Digital, Nord-Norge, Sørlandet, Trøndelag, Vestlandet, Østlandet) field_of_study: Filter by topic (e.g., 'Informasjonsteknologi', 'Ledelse') price_group: Filter by price (free, under_1000, over_1000) language: Filter by language (norsk, engelsk) target_audience: Filter by audience (open, student, member, tekna_ung, tillitsvalgt) event_format: Filter by format (in-person, digital) page: Page number (1-based, default 1) page_size: Items per page (default 10, max 50)
| Name | Required | Description | Default |
|---|---|---|---|
| query | No | ||
| region | No | ||
| field_of_study | No | ||
| price_group | No | ||
| language | No | ||
| target_audience | No | ||
| event_format | No | ||
| page | No | ||
| page_size | No |
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate read-only, so bar is lowered. Description adds output formatting behavior but does not disclose other traits like pagination behavior or error handling. Adequate but not rich.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Description is concise: one sentence for purpose, one sentence for output format, then clear bullet list for parameters. No unnecessary text, well-structured.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given 9 parameters with no schema descriptions, the description covers all adequately. Output schema exists so return values need not be detailed. Missing explicit mention of search result nature but implied. Minor gap.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0%, so description carries full burden. It provides explanations and examples for each parameter (e.g., query examples, region values), adding significant meaning beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Description clearly states it searches Tekna's event catalog with filters, distinguishing it from sibling tools like get_event_details which serve a different purpose.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicitly instructs to include event links in results and format as markdown, providing clear output guidelines. No explicit when-not or alternatives are given, but the context of siblings implies usage.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
4 tool updates
v0.1.0- First observed
get_event_details - First observed
get_member_benefits - First observed
get_news - First observed
search_events
TDQS
Each tool has a clearly distinct purpose: event details, member benefits, news, and event search. No overlap or ambiguity.
All tool names follow a consistent verb_noun pattern (get_event_details, get_member_benefits, get_news, search_events). No mixing of conventions.
4 tools is appropriate for the scope of providing information about events, benefits, and news. Not too few or too many.
Covers the main information needs (events, benefits, news) with search and details. Minor gap: no direct listing of all events without search, but search with empty query can serve that purpose.
Maintenance
Resources
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