MCP TMAP Server
MCP TMAP
MCP는 TMAP API에 연결됩니다.
현재 다음 API를 지원합니다.
필수 조건
시작하기 전에 다음 사항이 설치되어 있는지 확인하세요.
Python: 버전 3.13 이상
uv: 설치 지침은 여기에서 확인할 수 있습니다.
SK Open API: SK Open API 의 API 자격 증명(앱 키)이 필요합니다.
Related MCP server: MCP Naver Maps
구성
.env파일을 만듭니다. 프로젝트 루트에 파일을 만듭니다.API 자격 증명 추가:
.env파일을 편집하고 SK 오픈 API 자격 증명을 추가합니다.지엑스피1
src/mcp_tmap/tmap_client.py확인하여 필요한 정확한 환경 변수 이름을 확인하세요.
MCP 실행
종속성 동기화: 터미널에서 프로젝트 루트 디렉터리로 이동하여 다음 명령을 실행하세요. 가상 환경이 없는 경우 생성되고
pyproject.toml에 지정된 모든 종속성이 설치됩니다.uv sync실행:
uv사용하여 MCP 서버를 실행할 수 있습니다.uv run src/mcp_tmap개발을 위해,
source .venv/bin/activate mcp dev src/mcp_tmap/server.py
Available Tools
2 toolsfullTextAddressGeocodingC
Converts the given address to coordinates (geocoding).
Args address (str): address to convert.
Returns: a list of coordinates
newLat: latitude
newLon: longitude
newLatEntr: latitude of the entrance
newLonEntr: longitude of the entrance
| Name | Required | Description | Default |
|---|---|---|---|
| address | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It states the basic operation (geocoding) and return structure, but lacks critical details: it doesn't specify whether this is a read-only operation, potential side effects, error handling, rate limits, authentication needs, or accuracy considerations. For a geocoding tool with zero annotation coverage, this is a significant gap in transparency.
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 efficiently structured with a clear purpose statement followed by Args and Returns sections. Every sentence earns its place by defining the tool's function and output format. However, the Returns section could be more concise by combining the list items into a single sentence, and the front-loading is slightly weakened by separating the purpose from the parameter details.
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's moderate complexity (geocoding with one parameter), no annotations, and no output schema, the description is minimally complete. It covers the basic operation and return structure but lacks context about the geocoding service's limitations, coordinate system, or how to handle ambiguous addresses. The absence of output schema means the description must explain returns, which it does adequately but not comprehensively.
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 description adds meaningful context for the single parameter 'address' by explaining it's 'address to convert,' which clarifies its purpose beyond the schema's minimal title 'Address.' However, with 0% schema description coverage and only one parameter, the description compensates adequately but doesn't provide format examples, validation rules, or edge cases. The baseline for one parameter with low coverage is appropriately met.
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's purpose: 'Converts the given address to coordinates (geocoding).' This specifies the verb ('converts') and resource ('address to coordinates'), making the function unambiguous. However, it doesn't explicitly differentiate from the sibling tool 'publicTransitRoutes', which appears to serve a different purpose (routing vs. geocoding).
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 no guidance on when to use this tool versus alternatives. It doesn't mention the sibling tool 'publicTransitRoutes' or any other geocoding options, nor does it specify prerequisites, constraints, or typical use cases. The only implied usage is for address-to-coordinate conversion, but no contextual boundaries are defined.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
publicTransitRoutesB
Retrieves public transportation routes from start to destination.
Args: startLon (str): longitude of the starting point (WSG84). startLat (str): latitude of the starting point (WSG84). destLon (str): longitude of the destination (WSG84). destLat (str): latitude of the destination (WSG84). language (int): language of the route; 0 for Korean and 1 for English. searchTime (str, optional): Sets the time for the route to be searched. Used as information to indicate whether transportation is in operation. See [service] in the response for the operation status.
Returns: route information
itineraries: route details
fare: total fare
totalTime: in seconds
transferCount:
totalWalkDistance: in meters
totalDistance: in meters
totalWalkTime: in seconds
legs: legs in the route
distance: in meters
sectionTime: in seconds
mode: transportation mode
route: transportation route
start: starting point of the leg
end: destination of the leg
| Name | Required | Description | Default |
|---|---|---|---|
| destLat | Yes | ||
| destLon | Yes | ||
| language | No | ||
| searchTime | No | ||
| startLat | Yes | ||
| startLon | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions that 'searchTime' is used to indicate 'whether transportation is in operation' and references 'service' in the response, but doesn't explain authentication needs, rate limits, error conditions, or what happens if no routes are found.
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 well-structured with clear sections for Args and Returns, making it easy to parse. However, the return value section is somewhat verbose with nested bullet points that could be simplified, and the opening sentence could be more front-loaded with key information.
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 complexity (6 parameters, no annotations, no output schema), the description provides good parameter documentation but lacks behavioral context. It explains what the tool returns in detail, which compensates for the missing output schema, but doesn't cover error handling, rate limits, or prerequisites.
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 description coverage, the description fully compensates by providing detailed parameter explanations beyond the schema. It explains what each parameter represents (e.g., 'longitude of the starting point (WSG84)'), clarifies the 'language' parameter's enum values (0 for Korean, 1 for English), and provides context for 'searchTime' as optional with operational status implications.
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 'retrieves public transportation routes from start to destination,' which is a specific verb+resource combination. However, it doesn't differentiate from its sibling tool 'fullTextAddressGeocoding,' which appears to be a different geocoding function rather than a route-finding alternative.
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 no guidance on when to use this tool versus alternatives or in what context. It mentions the sibling tool 'fullTextAddressGeocoding' but doesn't explain how they relate or when to choose one over the other.
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.
2 tool updates
v1.0.0- First observed
fullTextAddressGeocoding - First observed
publicTransitRoutes
TDQS
Scored across 2 tools
The two tools have completely distinct purposes: one is for geocoding addresses to coordinates, and the other is for retrieving public transit routes between coordinates. There is no overlap in functionality, making it impossible to confuse them.
The naming is inconsistent: 'fullTextAddressGeocoding' uses camelCase, while 'publicTransitRoutes' uses a different style with mixed lower and upper case. There is no clear pattern, and the verb usage differs ('fullTextAddress' vs. 'publicTransit'), making it chaotic.
With only 2 tools, the server feels thin for a mapping/transit domain. It lacks basic operations like reverse geocoding, route alternatives, or transit schedule details, making it under-scoped for typical navigation or location-based tasks.
The server is severely incomplete for a mapping/transit service. It misses essential operations such as reverse geocoding, route optimization, transit stop information, or map data retrieval. The two tools provide only a narrow slice of functionality, leading to significant gaps in agent workflows.
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